GSTDTAP  > 资源环境科学
DOI10.1111/ele.13658
Can biomass distribution across trophic levels predict trophic cascades?
; ria Galiana; Jean‐; Franç; ois Arnoldi; Matthieu Barbier; Amandine Acloque; Claire de Mazancourt; Michel Loreau
2020-12-13
发表期刊Ecology Letters
出版年2020
英文摘要

The biomass distribution across trophic levels (biomass pyramid) and cascading responses to perturbations (trophic cascades) are archetypal representatives of the interconnected set of static and dynamical properties of food chains. A vast literature has explored their respective ecological drivers, sometimes generating correlations between them. Here we instead reveal a fundamental connection: both pyramids and cascades reflect the dynamical sensitivity of the food chain to changes in species intrinsic rates. We deduce a direct relationship between cascades and pyramids, modulated by what we call trophic dissipation – a synthetic concept that encodes the contribution of top‐down propagation of consumer losses in the biomass pyramid. Predictable across‐ecosystem patterns emerge when systems are in similar regimes of trophic dissipation. Data from 31 aquatic mesocosm experiments demonstrate how our approach can reveal the causal mechanisms linking trophic cascades and biomass distributions, thus providing a road map to deduce reliable predictions from empirical patterns.

领域资源环境
URL查看原文
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/308180
专题资源环境科学
推荐引用方式
GB/T 7714
Nú,ria Galiana,Jean‐,et al. Can biomass distribution across trophic levels predict trophic cascades?[J]. Ecology Letters,2020.
APA Nú.,ria Galiana.,Jean‐.,Franç.,ois Arnoldi.,...&Michel Loreau.(2020).Can biomass distribution across trophic levels predict trophic cascades?.Ecology Letters.
MLA Nú,et al."Can biomass distribution across trophic levels predict trophic cascades?".Ecology Letters (2020).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Nú]的文章
[ria Galiana]的文章
[Jean‐]的文章
百度学术
百度学术中相似的文章
[Nú]的文章
[ria Galiana]的文章
[Jean‐]的文章
必应学术
必应学术中相似的文章
[Nú]的文章
[ria Galiana]的文章
[Jean‐]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。