| DOI: | 10.1111/ele.13780
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| 论文题名: | Theory of temperature-dependent consumer–resource interactions |
| 作者: | Synodinos A.D.; Haegeman B.; Sentis A.; Montoya J.M.
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| 刊名: | Ecology Letters
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| ISSN: | 1461023X
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| 出版年: | 2021
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| 卷: | 24, 期:8 | | 起始页码: | 1539
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| 结束页码: | 1555
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| 语种: | 英语
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| 中文关键词: | biomass distributions
; climate change
; community stability
; consumer
; food webs
; interaction strength
; resource dynamics
; temperature dependence
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| 英文关键词: | biomass
; complexity
; consumer-resource interaction
; ecosystem function
; growth rate
; sensitivity analysis
; temperature effect
; biomass
; ecosystem
; food chain
; temperature
; Biomass
; Ecosystem
; Food Chain
; Temperature
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| 英文摘要: | Changes in temperature affect consumer–resource interactions, which underpin the functioning of ecosystems. However, existing studies report contrasting predictions regarding the impacts of warming on biological rates and community dynamics. To improve prediction accuracy and comparability, we develop an approach that combines sensitivity analysis and aggregate parameters. The former determines which biological parameters impact the community most strongly. The use of aggregate parameters (i.e., maximal energetic efficiency, ρ, and interaction strength, κ), that combine multiple biological parameters, increases explanatory power and reduces the complexity of theoretical analyses. We illustrate the approach using empirically derived thermal dependence curves of biological rates and applying it to consumer–resource biomass ratio and community stability. Based on our analyses, we generate four predictions: (1) resource growth rate regulates biomass distributions at mild temperatures, (2) interaction strength alone determines the thermal boundaries of the community, (3) warming destabilises dynamics at low and mild temperatures only and (4) interactions strength must decrease faster than maximal energetic efficiency for warming to stabilise dynamics. We argue for the potential benefits of directly working with the aggregate parameters to increase the accuracy of predictions on warming impacts on food webs and promote cross-system comparisons. © 2021 John Wiley & Sons Ltd. |
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| 资源类型: | 期刊论文
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/166939
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| Appears in Collections: | 气候变化与战略
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作者单位: | Theoretical and Experimental Ecology Station, CNRS, Moulis, France; INRAE, Aix Marseille University, UMR RECOVER, Aix-en-Provence, France
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| Recommended Citation: | |
Synodinos A.D.,Haegeman B.,Sentis A.,et al. Theory of temperature-dependent consumer–resource interactions[J]. Ecology Letters,2021-01-01,24(8)
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