Future-proofing environmental DNA and trait-based predictions of food webs

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

Standard

Future-proofing environmental DNA and trait-based predictions of food webs. / Pereira, Cátia Lúcio; Ersoy, Zeynep; Gilbert, M. Thomas P.; Gravel, Dominique; Araújo, Miguel B.; Matias, Miguel G.

In: BioScience, Vol. 73, No. 12, 2023, p. 862-878.

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

Harvard

Pereira, CL, Ersoy, Z, Gilbert, MTP, Gravel, D, Araújo, MB & Matias, MG 2023, 'Future-proofing environmental DNA and trait-based predictions of food webs', BioScience, vol. 73, no. 12, pp. 862-878. https://doi.org/10.1093/biosci/biad089

APA

Pereira, C. L., Ersoy, Z., Gilbert, M. T. P., Gravel, D., Araújo, M. B., & Matias, M. G. (2023). Future-proofing environmental DNA and trait-based predictions of food webs. BioScience, 73(12), 862-878. https://doi.org/10.1093/biosci/biad089

Vancouver

Pereira CL, Ersoy Z, Gilbert MTP, Gravel D, Araújo MB, Matias MG. Future-proofing environmental DNA and trait-based predictions of food webs. BioScience. 2023;73(12):862-878. https://doi.org/10.1093/biosci/biad089

Author

Pereira, Cátia Lúcio ; Ersoy, Zeynep ; Gilbert, M. Thomas P. ; Gravel, Dominique ; Araújo, Miguel B. ; Matias, Miguel G. / Future-proofing environmental DNA and trait-based predictions of food webs. In: BioScience. 2023 ; Vol. 73, No. 12. pp. 862-878.

Bibtex

@article{d702d63a258b4b608182cc9b86b8f566,
title = "Future-proofing environmental DNA and trait-based predictions of food webs",
abstract = "Food webs represent trophic interactions within ecosystems. Matching traits of consumers and resources helps infer trophic interactions and food-web properties. Environmental (e)DNA, commonly used for detecting species occurrences, is rarely used in trait-matching studies because abundance estimates and descriptions of relevant traits are generally missing. We synthesized recent literature on inferences of trophic interactions with eDNA and trait matching to identify challenges and opportunities for coupled eDNA–trait recording schemes. Our case study shows how coupling eDNA and trait data collection improves the ability to characterize greater numbers of food webs across multiple scales ranging from spatiotemporal to trait variation. Future-proofing eDNA data sets requires the collection of new traits or the compilation of existing trait data at spatiotemporal scales that are relevant to detect current and future changes in food webs and ecosystems.",
author = "Pereira, {C{\'a}tia L{\'u}cio} and Zeynep Ersoy and Gilbert, {M. Thomas P.} and Dominique Gravel and Ara{\'u}jo, {Miguel B.} and Matias, {Miguel G.}",
year = "2023",
doi = "10.1093/biosci/biad089",
language = "English",
volume = "73",
pages = "862--878",
journal = "BioScience",
issn = "0006-3568",
publisher = "Oxford University Press",
number = "12",

}

RIS

TY - JOUR

T1 - Future-proofing environmental DNA and trait-based predictions of food webs

AU - Pereira, Cátia Lúcio

AU - Ersoy, Zeynep

AU - Gilbert, M. Thomas P.

AU - Gravel, Dominique

AU - Araújo, Miguel B.

AU - Matias, Miguel G.

PY - 2023

Y1 - 2023

N2 - Food webs represent trophic interactions within ecosystems. Matching traits of consumers and resources helps infer trophic interactions and food-web properties. Environmental (e)DNA, commonly used for detecting species occurrences, is rarely used in trait-matching studies because abundance estimates and descriptions of relevant traits are generally missing. We synthesized recent literature on inferences of trophic interactions with eDNA and trait matching to identify challenges and opportunities for coupled eDNA–trait recording schemes. Our case study shows how coupling eDNA and trait data collection improves the ability to characterize greater numbers of food webs across multiple scales ranging from spatiotemporal to trait variation. Future-proofing eDNA data sets requires the collection of new traits or the compilation of existing trait data at spatiotemporal scales that are relevant to detect current and future changes in food webs and ecosystems.

AB - Food webs represent trophic interactions within ecosystems. Matching traits of consumers and resources helps infer trophic interactions and food-web properties. Environmental (e)DNA, commonly used for detecting species occurrences, is rarely used in trait-matching studies because abundance estimates and descriptions of relevant traits are generally missing. We synthesized recent literature on inferences of trophic interactions with eDNA and trait matching to identify challenges and opportunities for coupled eDNA–trait recording schemes. Our case study shows how coupling eDNA and trait data collection improves the ability to characterize greater numbers of food webs across multiple scales ranging from spatiotemporal to trait variation. Future-proofing eDNA data sets requires the collection of new traits or the compilation of existing trait data at spatiotemporal scales that are relevant to detect current and future changes in food webs and ecosystems.

U2 - 10.1093/biosci/biad089

DO - 10.1093/biosci/biad089

M3 - Journal article

VL - 73

SP - 862

EP - 878

JO - BioScience

JF - BioScience

SN - 0006-3568

IS - 12

ER -

ID: 374119022