A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Comparison of Bayesian and numerical optimization-based diet estimation on herbivorous zooplankton (2020)

Litmanen, J. J., Perälä, T. A., & Taipale, S. J. (2020). Comparison of Bayesian and numerical optimization-based diet estimation on herbivorous zooplankton. Philosophical Transactions of the Royal Society B : Biological Sciences, 375(1804), Article 20190651. https://doi.org/10.1098/rstb.2019.0651

JYU-tekijät tai -toimittajat

Julkaisun tiedot

Julkaisun kaikki tekijät tai toimittajat: Litmanen, Jaakko J.; Perälä, Tommi A.; Taipale, Sami J.

Lehti tai sarja: Philosophical Transactions of the Royal Society B : Biological Sciences

ISSN: 0962-8436

eISSN: 1471-2970

Julkaisuvuosi: 2020

Volyymi: 375

Lehden numero: 1804

Artikkelinumero: 20190651

Kustantaja: The Royal Society Publishing

Julkaisumaa: Britannia

Julkaisun kieli: englanti

DOI: https://doi.org/10.1098/rstb.2019.0651

Julkaisun avoin saatavuus: Ei avoin

Julkaisukanavan avoin saatavuus:

Julkaisu on rinnakkaistallennettu (JYX): https://jyx.jyu.fi/handle/123456789/74598


Consumer diet estimation with biotracer-based mixing models provides valuable information about trophic interactions and the dynamics of complex ecosystems. Here, we assessed the performance of four Bayesian and three numerical optimization-based diet estimation methods for estimating the diet composition of herbivorous zooplankton using consumer fatty acid (FA) profiles and resource library consisting of the results of homogeneous diet feeding experiments. The method performance was evaluated in terms of absolute errors, central probability interval checks, the success in identifying the primary resource in the diet, and the ability to detect the absence of resources in the diet. Despite occasional large inconsistencies, all the methods were able to identify the primary resource most of the time. The numerical optimization method QFASA using χ2(QFASA-CS) or Kullback­–Leibler (QFASA-KL) distance measures had the smallest absolute errors, most frequently found the primary resource, and adequately detected the absence of resources. While the Bayesian methods usually performed well, some of the methods produced ambiguous results and some had much longer computing times than QFASA. Therefore, we recommend using QFASA-CS or QFASA-KL. Our systematic tests showed that FA models can be used to accurately estimate complex dietary mixtures in herbivorous zooplankton.

YSO-asiasanat: ravintoaineet; ravintoverkot; plankton; vesikirput; estimointi; bayesilainen menetelmä

Vapaat asiasanat: QFASA; Daphnia; FASTAR; MixSIAR; biotracers; food web

Liittyvät organisaatiot

Hankkeet, joissa julkaisu on tehty

OKM-raportointi: Kyllä

Raportointivuosi: 2020

JUFO-taso: 2

Viimeisin päivitys 2021-09-08 klo 08:46