Species richness and food‐web structure jointly drive community biomass and its temporal stability in fish communities DOI
Alain Danet, Maud Mouchet, Willem Bonnaffé

и другие.

Ecology Letters, Год журнала: 2021, Номер 24(11), С. 2364 - 2377

Опубликована: Авг. 22, 2021

Biodiversity-ecosystem functioning and food-web complexity-stability relationships are central to ecology. However, they remain largely untested in natural contexts. Here, we estimated the links among environmental conditions, richness, structure, annual biomass its temporal stability using a standardised monitoring dataset of 99 stream fish communities spanning from 1995 2018. We first revealed that both richness average trophic level positively related biomass, with effects similar strength. Second, found community is fostered by mean level, while contrary expectation, it decreased species richness. Finally, conditions affect mainly via on network structure. Strikingly, effect was mediated population rather than synchrony, which contrasts results single communities. discuss hypothesis could be characteristic multi-trophic

Язык: Английский

Scaling‐up biodiversity‐ecosystem functioning research DOI Creative Commons
Andrew Gonzalez, Rachel M. Germain, Diane S. Srivastava

и другие.

Ecology Letters, Год журнала: 2020, Номер 23(4), С. 757 - 776

Опубликована: Янв. 29, 2020

Abstract A rich body of knowledge links biodiversity to ecosystem functioning (BEF), but it is primarily focused on small scales. We review the current theory and identify six expectations for scale dependence in BEF relationship: (1) a nonlinear change slope relationship with spatial scale; (2) scale‐dependent between stability extent; (3) coexistence within among sites will result positive at larger scales; (4) temporal autocorrelation environmental variability affects species turnover thus (5) connectivity metacommunities generates relationships by affecting population synchrony local regional (6) scaling food web structure diversity generate functioning. suggest directions synthesis that combine approaches metaecosystem metacommunity ecology integrate cross‐scale feedbacks. Tests this may remote sensing generation networked experiments assess effects multiple also show how anthropogenic land cover alter relationship. New research role guide policy linking goals managing ecosystems.

Язык: Английский

Процитировано

365

Protists: Puppet Masters of the Rhizosphere Microbiome DOI

Zhilei Gao,

Ida Karlsson, Stefan Geisen

и другие.

Trends in Plant Science, Год журнала: 2018, Номер 24(2), С. 165 - 176

Опубликована: Ноя. 13, 2018

Язык: Английский

Процитировано

311

Energy Flux: The Link between Multitrophic Biodiversity and Ecosystem Functioning DOI Creative Commons
Andrew D. Barnes, Malte Jochum, Jonathan S. Lefcheck

и другие.

Trends in Ecology & Evolution, Год журнала: 2018, Номер 33(3), С. 186 - 197

Опубликована: Янв. 8, 2018

Язык: Английский

Процитировано

286

Biodiversity across trophic levels drives multifunctionality in highly diverse forests DOI Creative Commons
Andreas Schuldt, Thorsten Aßmann,

Matteo Brezzi

и другие.

Nature Communications, Год журнала: 2018, Номер 9(1)

Опубликована: Июль 25, 2018

Human-induced biodiversity change impairs ecosystem functions crucial to human well-being. However, the consequences of this for multifunctionality are poorly understood beyond effects plant species loss, particularly in regions with high across trophic levels. Here we adopt a multitrophic perspective analyze how affects biodiverse subtropical forests. We consider 22 independent measurements nine central energy and nutrient flow find that individual more strongly affected by diversity heterotrophs promoting decomposition cycling, functional-trait composition, than tree richness. Moreover, cascading higher trophic-level on originating from lower processes highlight is key understanding drivers multifunctionality. A broader biodiversity-multifunctionality relationships sustainable management light non-random loss intensified biotic disturbances under future environmental change.

Язык: Английский

Процитировано

267

Predator traits determine food-web architecture across ecosystems DOI
Ulrich Brose, Philippe Archambault, Andrew D. Barnes

и другие.

Nature Ecology & Evolution, Год журнала: 2019, Номер 3(6), С. 919 - 927

Опубликована: Май 20, 2019

Язык: Английский

Процитировано

213

A multitrophic perspective on biodiversity–ecosystem functioning research DOI
Nico Eisenhauer, Holger Schielzeth, Andrew D. Barnes

и другие.

Advances in ecological research/Advances in Ecological Research, Год журнала: 2019, Номер unknown, С. 1 - 54

Опубликована: Янв. 1, 2019

Язык: Английский

Процитировано

141

Human activities' fingerprint on multitrophic biodiversity and ecosystem functions across a major river catchment in China DOI
Feilong Li, Florian Altermatt, Jianghua Yang

и другие.

Global Change Biology, Год журнала: 2020, Номер 26(12), С. 6867 - 6879

Опубликована: Сен. 16, 2020

Abstract Human‐induced global change dramatically alters individual aspects of river biodiversity, such as taxonomic, phylogenetic or functional diversity, and is predicted to lead losses associated ecosystem functions. Understanding these dependencies are critical human well‐being. Until now, however, most studies have only looked either at organismal groups single functions, little known on the effect activities multitrophic biodiversity multifunctionality in riverine ecosystem. Here we profiled from bacteria invertebrates based environmental DNA (hereafter, ‘eDNA’) samples across a major catchment China, analysed their with multiple especially linked C/N/P‐cycling. Firstly, found spatial cross‐taxon congruence pattern communities' structure network Shaying river, which was related strong filtering due land use. Secondly, use explained decline multifaceted but increased redundancy Thirdly, function relationships an integrative level showed concave‐up (non‐saturating) shape. Finally, structural equation modeling suggested that affects functions through biodiversity‐mediated pathways, including loss altered community interdependence groups. Our study highlights value complete inclusive assessment for integrated land‐use management ecosystems.

Язык: Английский

Процитировано

102

Biodiversity effects on ecosystem functioning respond unimodally to environmental stress DOI
Jan M. Baert, Nico Eisenhauer, Colin Janssen

и другие.

Ecology Letters, Год журнала: 2018, Номер 21(8), С. 1191 - 1199

Опубликована: Июнь 4, 2018

Understanding how biodiversity (B) affects ecosystem functioning (EF) is essential for assessing the consequences of ongoing changes. An increasing number studies, however, show that environmental conditions affect shape BEF relationships. Here, we first use a game-theoretic community model to reveal unimodal response slope can be expected along stress gradients, but also ecological mechanisms underlying this may vary depending on species interactions. Next, analysed global dataset 44 experiments crossed with conditions. Confirming our main prediction, effect tends greater at intermediate levels stress, varies among studies corresponding differences in stress-effects Together, these results suggest increases from changes amplify

Язык: Английский

Процитировано

87

Ecosystem function in predator–prey food webs—confronting dynamic models with empirical data DOI Creative Commons
Alva Curtsdotter,

H. T. Banks,

John E. Banks

и другие.

Journal of Animal Ecology, Год журнала: 2018, Номер 88(2), С. 196 - 210

Опубликована: Авг. 7, 2018

Most ecosystem functions and related services involve species interactions across trophic levels, for example, pollination biological pest control. Despite this, our understanding of function in multitrophic communities is poor, research has been limited to either manipulation small or statistical descriptions larger ones. Recent advances food web ecology may allow us overcome the trade-off between mechanistic insight ecological realism. Molecular tools now simplify detection feeding interactions, trait-based approaches application dynamic models real ecosystems. We performed first test an allometric model's ability replicate temporally nonaggregated abundance data from field provide into predation. aimed reproduce explore drivers population dynamics aphid herbivore Rhopalosiphum padi observed ten Swedish barley fields. used a model, taking abundances predators alternative prey as input data, allowing examine role predation The inverse problem methods were simultaneous model fit optimization parameterization. captured >70% variation five fields, supporting model-embodied hypothesis that body size can be important determinant arthropod community. further demonstrate how in-depth analysis disentangle likely function, such community's trait composition. Analysing variability performance revealed knowledge gaps, source episodic mortality, general method development needs that, if addressed, would increase success enable stronger inference about function. results confronting with viable approach evaluate theory aid However, realize full potential models, beyond, parameterization must refined extended include more traits than size.

Язык: Английский

Процитировано

85

The dimensionality of stability depends on disturbance type DOI
Viktoriia Radchuk, Frederik De Laender, Juliano Sarmento Cabral

и другие.

Ecology Letters, Год журнала: 2019, Номер 22(4), С. 674 - 684

Опубликована: Фев. 8, 2019

Ecosystems respond in various ways to disturbances. Quantifying ecological stability therefore requires inspecting multiple properties, such as resistance, recovery, persistence and invariability. Correlations among these properties can reduce the dimensionality of stability, simplifying study environmental effects on ecosystems. A key question is how kind disturbance affects correlations. We here investigated effect three types (random, species-specific, local) applied at four intensity levels, population community level. used previously parameterized models that represent five natural communities, varying species richness number trophic levels. found type but not affected only The also varied greatly communities. Therefore, studying cannot be simplified using a single metric multi-dimensional assessments are still recommended.

Язык: Английский

Процитировано

82