Evidence map›Paper›PMID 39449504›Full record

ArticleThe Journal of animal ecology2024

The role of indirect interspecific effects in the stochastic dynamics of a simple trophic system.

Laura Bartra-Cabré, Brage B Hansen, Aline M Lee, Kate Layton-Matthews, Maarten J J E Loonen, Eva Fuglei, Leif E Loe, Vidar Grøtan

Abstract read
In one paragraph

Article in The Journal of animal ecology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Laura Bartra-CabréDepartment of Biology, Centre for Biodiversity Dynamics, Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0002-8191-0713
Brage B HansenDepartment of Biology, Centre for Biodiversity Dynamics, Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0001-8763-4361
Aline M LeeDepartment of Biology, Centre for Biodiversity Dynamics, Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0001-9272-4249
Kate Layton-MatthewsNorwegian Institute for Nature Research, Oslo, Norway.ORCID 0000-0001-5275-1218
Maarten J J E LoonenArctic Centre, University of Groningen, Groningen, The Netherlands.ORCID 0000-0002-3426-4595
Eva FugleiNorwegian Polar Institute, Tromsø, Norway.ORCID 0000-0001-8536-0088
Leif E LoeFaculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, Ås, Norway.ORCID 0000-0003-4804-2253
Vidar GrøtanDepartment of Biology, Centre for Biodiversity Dynamics, Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0003-1222-0724

Funding

Netherlands Science Organisation (NWO)Norges Forskningsråd 223257Norges Forskningsråd 276080Norges Forskningsråd 343398Norwegian Institute for Nature Research (NINA)Norwegian Polar Institute and Climate-Ecological Observatory for Arctic Tundra (COAT)University of Groningen
6 · The paper itself

Abstract

Indirect interspecific effects (IIEs) occur when one species affects another through a third intermediary species. Understanding the role of IIEs in population dynamics is key for predicting community-level impacts of environmental change. Yet, empirically teasing apart IIEs from other interactions and population drivers has proven challenging and data-demanding, particularly in species-rich communities. We used stochastic population models parameterized with long-term time series of individual data to simulate population trajectories and examine IIEs in a simple high-arctic vertebrate food chain consisting of the wild Svalbard reindeer, its scavenger (the Arctic fox) and the barnacle goose, a migratory prey of the fox. We used the simulated population trajectories to explore co-fluctuations between the species within the food chain. Additionally, we adjusted the model in two ways: first, to isolate the impact of fluctuations in the abundance of a species by keeping its abundance constant; and second, to isolate the impact of a trophic interaction on the dynamics of other species by setting the abundance of the influencing species to zero. We found that fluctuations in reindeer carcasses shaped fox abundance fluctuations, which subsequently affected goose population dynamics. Reindeer and goose population growth rates were nevertheless only weakly correlated, probably in part due to demographic and environmental stochasticity, density dependence and lagged dynamics in the geese. However, removing the fluctuations in reindeer abundance or setting reindeer abundance to zero indeed demonstrated strong underlying IIEs on goose population dynamics and extinction probability. This study thus highlights the importance of species interactions, including IIEs, on species coexistence and communities in the long-term, that is beyond immediate effects and covariation in short-term fluctuations.

Indexed as

Food ChainFoxesGeeseModels, BiologicalPopulation DynamicsReindeerStochastic ProcessesAnimalsArctic RegionsArctic foxbarnacle goosefood chainhigh‐Arctic Svalbardindirect species interactionsstochastic modelSvalbard reindeer

Identifiers

PMID39449504
PMCPMC11615271

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.