A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
A Bayesian stable isotope mixing model for coping with multiple isotopes, multiple trophic steps and small sample sizes (2022)


Heikkinen, R., Hämäläinen, H., Kiljunen, M., Kärkkäinen, S., Schilder, J., & Jones, R. I. (2022). A Bayesian stable isotope mixing model for coping with multiple isotopes, multiple trophic steps and small sample sizes. Methods in Ecology and Evolution, 13(11), 2586-2602. https://doi.org/10.1111/2041-210x.13989


JYU-tekijät tai -toimittajat


Julkaisun tiedot

Julkaisun kaikki tekijät tai toimittajat: Heikkinen, Risto; Hämäläinen, Heikki; Kiljunen, Mikko; Kärkkäinen, Salme; Schilder, Jos; Jones, Roger I.

Lehti tai sarja: Methods in Ecology and Evolution

ISSN: 2041-210X

eISSN: 2041-210X

Julkaisuvuosi: 2022

Ilmestymispäivä: 11.10.2022

Volyymi: 13

Lehden numero: 11

Artikkelin sivunumerot: 2586-2602

Kustantaja: Wiley-Blackwell

Julkaisumaa: Britannia

Julkaisun kieli: englanti

DOI: https://doi.org/10.1111/2041-210x.13989

Julkaisun avoin saatavuus: Avoimesti saatavilla

Julkaisukanavan avoin saatavuus: Osittain avoin julkaisukanava

Julkaisu on rinnakkaistallennettu (JYX): https://jyx.jyu.fi/handle/123456789/83573


Tiivistelmä

We introduce a Bayesian stable isotope mixing model for estimating the relative contributions of different dietary components to the tissues of consumers within food webs. The model is implemented with the probabilistic programming language Stan.
The model incorporates isotopes of multiple elements (e.g. C, N, H) for two trophic levels, when the structure of the food web is known. In addition, the model allows inclusion of latent trophic levels (i.e. for which no empirical data are available) intermediate between sources and measured consumers. Running the model in simulations driven by a real dataset from Finnish lakes, we tested the sensitivity of the posterior distributions by altering critical prior parameters and assumptions in the data-generating process.
Importantly, we found that the model estimations were particularly sensitive to the assigned prior value for ω (the fraction of H in aquatic consumer tissue that is derived from environmental water rather than diet) so that reliable empirical data for this parameter are required. When reliable information is not available for ω, we suggest that an uninformative prior should be used.
The proposed model and inferences are suitable for studies where resources for collecting new data are limited, but useful prior information for each specific trophic level is available from earlier studies.


YSO-asiasanat: bayesilainen menetelmä; isotoopit; ravintoverkot

Vapaat asiasanat: Bayesian mixing model; informative prior; multiple levels; stable isotope


Liittyvät organisaatiot


Hankkeet, joissa julkaisu on tehty


OKM-raportointi: Kyllä

Raportointivuosi: 2022

JUFO-taso: 2


Viimeisin päivitys 2024-30-04 klo 19:15