Do large-scale associations in birds imply biotic interactions or environmental filtering?

Research output: Contribution to journal › Journal article › peer-review

Standard

Do large-scale associations in birds imply biotic interactions or environmental filtering? / Elo, Merja; Kajanus, Mira H.; Tolvanen, Jere; Devictor, Vincent; Forsman, Jukka T.; Lehikoinen, Aleksi; Monkkonen, Mikko; Thorson, James T.; Vollstadt, Maximilian G. R.; Kivela, Sami M.

In: Journal of Biogeography, Vol. 50, No. 1, 2023, p. 169-182.

Research output: Contribution to journal › Journal article › peer-review

Harvard

Elo, M, Kajanus, MH, Tolvanen, J, Devictor, V, Forsman, JT, Lehikoinen, A, Monkkonen, M, Thorson, JT, Vollstadt, MGR & Kivela, SM 2023, 'Do large-scale associations in birds imply biotic interactions or environmental filtering?', Journal of Biogeography, vol. 50, no. 1, pp. 169-182. https://doi.org/10.1111/jbi.14520

APA

Elo, M., Kajanus, M. H., Tolvanen, J., Devictor, V., Forsman, J. T., Lehikoinen, A., Monkkonen, M., Thorson, J. T., Vollstadt, M. G. R., & Kivela, S. M. (2023). Do large-scale associations in birds imply biotic interactions or environmental filtering? Journal of Biogeography, 50(1), 169-182. https://doi.org/10.1111/jbi.14520

Vancouver

Elo M, Kajanus MH, Tolvanen J, Devictor V, Forsman JT, Lehikoinen A et al. Do large-scale associations in birds imply biotic interactions or environmental filtering? Journal of Biogeography. 2023;50(1):169-182. https://doi.org/10.1111/jbi.14520

Author

Elo, Merja ; Kajanus, Mira H. ; Tolvanen, Jere ; Devictor, Vincent ; Forsman, Jukka T. ; Lehikoinen, Aleksi ; Monkkonen, Mikko ; Thorson, James T. ; Vollstadt, Maximilian G. R. ; Kivela, Sami M. / Do large-scale associations in birds imply biotic interactions or environmental filtering?. In: Journal of Biogeography. 2023 ; Vol. 50, No. 1. pp. 169-182.

Bibtex

@article{a38be87b4a6741d48e802606a85e090e,
title = "Do large-scale associations in birds imply biotic interactions or environmental filtering?",
abstract = "Aim There has been a wide interest in the effect of biotic interactions on species' occurrences and abundances at large spatial scales, coupled with a vast development of the statistical methods to study them. Still, evidence for whether the effects of within-trophic-level biotic interactions (e.g. competition and heterospecific attraction) are discernible beyond local scales remains inconsistent. Here, we present a novel hypothesis-testing framework based on joint dynamic species distribution models and functional trait similarity to dissect between environmental filtering and biotic interactions. Location France and Finland. Taxon Birds. Methods We estimated species-to-species associations within a trophic level, independent of the main environmental variables (mean temperature and total precipitation) for common species at large spatial scale with joint dynamic species distribution (a multivariate spatiotemporal delta model) models. We created hypotheses based on species' functionality (morphological and/or diet dissimilarity) and habitat preferences about the sign and strength of the pairwise spatiotemporal associations to estimate the extent to which they result from biotic interactions (competition, heterospecific attraction) and/or environmental filtering. Results Spatiotemporal associations were mostly positive (80%), followed by random (15%), and only 5% were negative. Where detected, negative spatiotemporal associations in different communities were due to a few species. The relationship between spatiotemporal association and functional dissimilarity among species was negative, which fulfils the predictions of both environmental filtering and heterospecific attraction. Main conclusions We showed that processes leading to species aggregation (mixture between environmental filtering and heterospecific attraction) seem to dominate assembly rules, and we did not find evidence for competition. Altogether, our hypothesis-testing framework based on joint dynamic species distribution models and functional trait similarity is beneficial in ecological interpretation of species-to-species associations from data covering several decades and biogeographical regions.",
keywords = "competition, functional traits, heterospecific attraction, joint dynamic species distribution models, macroecology, VAST, HETEROSPECIFIC ATTRACTION, SPECIES INTERACTIONS, FITNESS CONSEQUENCES, HABITAT SELECTION, INFORMATION USE, MIGRANT, MODELS, TIME, DISTRIBUTIONS, ASSEMBLAGES",
author = "Merja Elo and Kajanus, {Mira H.} and Jere Tolvanen and Vincent Devictor and Forsman, {Jukka T.} and Aleksi Lehikoinen and Mikko Monkkonen and Thorson, {James T.} and Vollstadt, {Maximilian G. R.} and Kivela, {Sami M.}",
year = "2023",
doi = "10.1111/jbi.14520",
language = "English",
volume = "50",
pages = "169--182",
journal = "Journal of Biogeography",
issn = "0305-0270",
publisher = "Wiley-Blackwell",
number = "1",

}

RIS

TY - JOUR

T1 - Do large-scale associations in birds imply biotic interactions or environmental filtering?

AU - Elo, Merja

AU - Kajanus, Mira H.

AU - Tolvanen, Jere

AU - Devictor, Vincent

AU - Forsman, Jukka T.

AU - Lehikoinen, Aleksi

AU - Monkkonen, Mikko

AU - Thorson, James T.

AU - Vollstadt, Maximilian G. R.

AU - Kivela, Sami M.

PY - 2023

Y1 - 2023

N2 - Aim There has been a wide interest in the effect of biotic interactions on species' occurrences and abundances at large spatial scales, coupled with a vast development of the statistical methods to study them. Still, evidence for whether the effects of within-trophic-level biotic interactions (e.g. competition and heterospecific attraction) are discernible beyond local scales remains inconsistent. Here, we present a novel hypothesis-testing framework based on joint dynamic species distribution models and functional trait similarity to dissect between environmental filtering and biotic interactions. Location France and Finland. Taxon Birds. Methods We estimated species-to-species associations within a trophic level, independent of the main environmental variables (mean temperature and total precipitation) for common species at large spatial scale with joint dynamic species distribution (a multivariate spatiotemporal delta model) models. We created hypotheses based on species' functionality (morphological and/or diet dissimilarity) and habitat preferences about the sign and strength of the pairwise spatiotemporal associations to estimate the extent to which they result from biotic interactions (competition, heterospecific attraction) and/or environmental filtering. Results Spatiotemporal associations were mostly positive (80%), followed by random (15%), and only 5% were negative. Where detected, negative spatiotemporal associations in different communities were due to a few species. The relationship between spatiotemporal association and functional dissimilarity among species was negative, which fulfils the predictions of both environmental filtering and heterospecific attraction. Main conclusions We showed that processes leading to species aggregation (mixture between environmental filtering and heterospecific attraction) seem to dominate assembly rules, and we did not find evidence for competition. Altogether, our hypothesis-testing framework based on joint dynamic species distribution models and functional trait similarity is beneficial in ecological interpretation of species-to-species associations from data covering several decades and biogeographical regions.

AB - Aim There has been a wide interest in the effect of biotic interactions on species' occurrences and abundances at large spatial scales, coupled with a vast development of the statistical methods to study them. Still, evidence for whether the effects of within-trophic-level biotic interactions (e.g. competition and heterospecific attraction) are discernible beyond local scales remains inconsistent. Here, we present a novel hypothesis-testing framework based on joint dynamic species distribution models and functional trait similarity to dissect between environmental filtering and biotic interactions. Location France and Finland. Taxon Birds. Methods We estimated species-to-species associations within a trophic level, independent of the main environmental variables (mean temperature and total precipitation) for common species at large spatial scale with joint dynamic species distribution (a multivariate spatiotemporal delta model) models. We created hypotheses based on species' functionality (morphological and/or diet dissimilarity) and habitat preferences about the sign and strength of the pairwise spatiotemporal associations to estimate the extent to which they result from biotic interactions (competition, heterospecific attraction) and/or environmental filtering. Results Spatiotemporal associations were mostly positive (80%), followed by random (15%), and only 5% were negative. Where detected, negative spatiotemporal associations in different communities were due to a few species. The relationship between spatiotemporal association and functional dissimilarity among species was negative, which fulfils the predictions of both environmental filtering and heterospecific attraction. Main conclusions We showed that processes leading to species aggregation (mixture between environmental filtering and heterospecific attraction) seem to dominate assembly rules, and we did not find evidence for competition. Altogether, our hypothesis-testing framework based on joint dynamic species distribution models and functional trait similarity is beneficial in ecological interpretation of species-to-species associations from data covering several decades and biogeographical regions.

KW - competition

KW - functional traits

KW - heterospecific attraction

KW - joint dynamic species distribution models

KW - macroecology

KW - VAST

KW - HETEROSPECIFIC ATTRACTION

KW - SPECIES INTERACTIONS

KW - FITNESS CONSEQUENCES

KW - HABITAT SELECTION

KW - INFORMATION USE

KW - MIGRANT

KW - MODELS

KW - TIME

KW - DISTRIBUTIONS

KW - ASSEMBLAGES

U2 - 10.1111/jbi.14520

DO - 10.1111/jbi.14520

M3 - Journal article

VL - 50

SP - 169

EP - 182

JO - Journal of Biogeography

JF - Journal of Biogeography

SN - 0305-0270

IS - 1

ER -

ID: 325834353