Simple attributes predict the value of plants as hosts to fungal and arthropod communities

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Simple attributes predict the value of plants as hosts to fungal and arthropod communities. / Bruun, Hans Henrik; Brunbjerg, Ane Kirstine; Dalby, Lars; Fløjgaard, Camilla; Frøslev, Tobias G.; Haarder, Simon; Heilmann-Clausen, Jacob; Høye, Toke T.; Læssøe, Thomas; Ejrnæs, Rasmus.

In: Oikos, Vol. 2022, No. 4, e08823, 2022.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Bruun, HH, Brunbjerg, AK, Dalby, L, Fløjgaard, C, Frøslev, TG, Haarder, S, Heilmann-Clausen, J, Høye, TT, Læssøe, T & Ejrnæs, R 2022, 'Simple attributes predict the value of plants as hosts to fungal and arthropod communities', Oikos, vol. 2022, no. 4, e08823. https://doi.org/10.1111/oik.08823

APA

Bruun, H. H., Brunbjerg, A. K., Dalby, L., Fløjgaard, C., Frøslev, T. G., Haarder, S., Heilmann-Clausen, J., Høye, T. T., Læssøe, T., & Ejrnæs, R. (2022). Simple attributes predict the value of plants as hosts to fungal and arthropod communities. Oikos, 2022(4), [e08823]. https://doi.org/10.1111/oik.08823

Vancouver

Bruun HH, Brunbjerg AK, Dalby L, Fløjgaard C, Frøslev TG, Haarder S et al. Simple attributes predict the value of plants as hosts to fungal and arthropod communities. Oikos. 2022;2022(4). e08823. https://doi.org/10.1111/oik.08823

Author

Bruun, Hans Henrik ; Brunbjerg, Ane Kirstine ; Dalby, Lars ; Fløjgaard, Camilla ; Frøslev, Tobias G. ; Haarder, Simon ; Heilmann-Clausen, Jacob ; Høye, Toke T. ; Læssøe, Thomas ; Ejrnæs, Rasmus. / Simple attributes predict the value of plants as hosts to fungal and arthropod communities. In: Oikos. 2022 ; Vol. 2022, No. 4.

Bibtex

@article{870c379f3e3740db9123f9ca21164368,
title = "Simple attributes predict the value of plants as hosts to fungal and arthropod communities",
abstract = "Fungal and arthropod consumers constitute the vast majority of global terrestrial biodiversity. Yet, the link from richness and composition of producer (plant) communities to the richness of consumer communities is poorly understood. Fungal and arthropod species richness could be a simple function of producer species richness at a site. Alternatively, it could be a complex function of chemical and structural properties of the producer species making up communities. We used databases on plant–fungus and plant–arthropod trophic links to derive the richness of consumer biota per associated plant species (coined link score). We assessed how well link scores could be predicted by simple attributes of plant species. Next, we used a multi-taxon inventory of 130 sites, representing all major habitat types in a country (Denmark), to investigate whether link scores summed over plant species in communities (coined link sum) could outperform simple plant species richness as predictor of fungal and arthropod richness at the sites. We found plant species' link scores for both fungi and arthropods to be positively related to plant size, regional occupancy, nativeness and ectomycorrhizal status. Link-based indices generally improved the prediction of richness of fungal and arthropod communities. For fungal communities, both observed link sum (from databases) and predicted link sum (from plant attributes) had high predictive power, while plant richness alone had none. For arthropod communities, predictive performance varied between functional groups. For both fungi and arthropods, richness predictions were further improved by considering abiotic habitat conditions. Our results underline the importance of plants as niche space for the megadiverse groups of arthropods and fungi. The plant–attribute approach holds promise for predicting local and regional consumer richness in areas of the world lacking detailed plant–consumer databases.",
keywords = "consumer diversity, ecospace, multi-taxon biodiversity, mycorrhizal fungi, phytophagous arthropods, plant traits, trophic interactions",
author = "Bruun, {Hans Henrik} and Brunbjerg, {Ane Kirstine} and Lars Dalby and Camilla Fl{\o}jgaard and Fr{\o}slev, {Tobias G.} and Simon Haarder and Jacob Heilmann-Clausen and H{\o}ye, {Toke T.} and Thomas L{\ae}ss{\o}e and Rasmus Ejrn{\ae}s",
note = "Publisher Copyright: {\textcopyright} 2022 Nordic Society Oikos. Published by John Wiley & Sons Ltd.",
year = "2022",
doi = "10.1111/oik.08823",
language = "English",
volume = "2022",
journal = "Oikos",
issn = "0030-1299",
publisher = "Wiley-Blackwell",
number = "4",

}

RIS

TY - JOUR

T1 - Simple attributes predict the value of plants as hosts to fungal and arthropod communities

AU - Bruun, Hans Henrik

AU - Brunbjerg, Ane Kirstine

AU - Dalby, Lars

AU - Fløjgaard, Camilla

AU - Frøslev, Tobias G.

AU - Haarder, Simon

AU - Heilmann-Clausen, Jacob

AU - Høye, Toke T.

AU - Læssøe, Thomas

AU - Ejrnæs, Rasmus

N1 - Publisher Copyright: © 2022 Nordic Society Oikos. Published by John Wiley & Sons Ltd.

PY - 2022

Y1 - 2022

N2 - Fungal and arthropod consumers constitute the vast majority of global terrestrial biodiversity. Yet, the link from richness and composition of producer (plant) communities to the richness of consumer communities is poorly understood. Fungal and arthropod species richness could be a simple function of producer species richness at a site. Alternatively, it could be a complex function of chemical and structural properties of the producer species making up communities. We used databases on plant–fungus and plant–arthropod trophic links to derive the richness of consumer biota per associated plant species (coined link score). We assessed how well link scores could be predicted by simple attributes of plant species. Next, we used a multi-taxon inventory of 130 sites, representing all major habitat types in a country (Denmark), to investigate whether link scores summed over plant species in communities (coined link sum) could outperform simple plant species richness as predictor of fungal and arthropod richness at the sites. We found plant species' link scores for both fungi and arthropods to be positively related to plant size, regional occupancy, nativeness and ectomycorrhizal status. Link-based indices generally improved the prediction of richness of fungal and arthropod communities. For fungal communities, both observed link sum (from databases) and predicted link sum (from plant attributes) had high predictive power, while plant richness alone had none. For arthropod communities, predictive performance varied between functional groups. For both fungi and arthropods, richness predictions were further improved by considering abiotic habitat conditions. Our results underline the importance of plants as niche space for the megadiverse groups of arthropods and fungi. The plant–attribute approach holds promise for predicting local and regional consumer richness in areas of the world lacking detailed plant–consumer databases.

AB - Fungal and arthropod consumers constitute the vast majority of global terrestrial biodiversity. Yet, the link from richness and composition of producer (plant) communities to the richness of consumer communities is poorly understood. Fungal and arthropod species richness could be a simple function of producer species richness at a site. Alternatively, it could be a complex function of chemical and structural properties of the producer species making up communities. We used databases on plant–fungus and plant–arthropod trophic links to derive the richness of consumer biota per associated plant species (coined link score). We assessed how well link scores could be predicted by simple attributes of plant species. Next, we used a multi-taxon inventory of 130 sites, representing all major habitat types in a country (Denmark), to investigate whether link scores summed over plant species in communities (coined link sum) could outperform simple plant species richness as predictor of fungal and arthropod richness at the sites. We found plant species' link scores for both fungi and arthropods to be positively related to plant size, regional occupancy, nativeness and ectomycorrhizal status. Link-based indices generally improved the prediction of richness of fungal and arthropod communities. For fungal communities, both observed link sum (from databases) and predicted link sum (from plant attributes) had high predictive power, while plant richness alone had none. For arthropod communities, predictive performance varied between functional groups. For both fungi and arthropods, richness predictions were further improved by considering abiotic habitat conditions. Our results underline the importance of plants as niche space for the megadiverse groups of arthropods and fungi. The plant–attribute approach holds promise for predicting local and regional consumer richness in areas of the world lacking detailed plant–consumer databases.

KW - consumer diversity

KW - ecospace

KW - multi-taxon biodiversity

KW - mycorrhizal fungi

KW - phytophagous arthropods

KW - plant traits

KW - trophic interactions

U2 - 10.1111/oik.08823

DO - 10.1111/oik.08823

M3 - Journal article

AN - SCOPUS:85124510726

VL - 2022

JO - Oikos

JF - Oikos

SN - 0030-1299

IS - 4

M1 - e08823

ER -

ID: 298846766