A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
A New Method to Reconstruct Quantitative Food Webs and Nutrient Flows from Isotope Tracer Addition Experiments (2020)


López-Sepulcre, Andres; Bruneaux, Matthieu; Collins, Sarah M.; El-Sabaawi, Rana; Flecker, Alexander S.; Thomas, Steven A. (2020). A New Method to Reconstruct Quantitative Food Webs and Nutrient Flows from Isotope Tracer Addition Experiments. American Naturalist, 195 (6), 964-985. DOI: 10.1086/708546


JYU-tekijät tai -toimittajat


Julkaisun tiedot

Julkaisun kaikki tekijät tai toimittajat: López-Sepulcre, Andres; Bruneaux, Matthieu; Collins, Sarah M.; El-Sabaawi, Rana; Flecker, Alexander S.; Thomas, Steven A.

Lehti tai sarja: American Naturalist

ISSN: 0003-0147

eISSN: 1537-5323

Julkaisuvuosi: 2020

Volyymi: 195

Lehden numero: 6

Artikkelin sivunumerot: 964-985

Kustantaja: University of Chicago Press

Julkaisumaa: Yhdysvallat (USA)

Julkaisun kieli: englanti

DOI: https://doi.org/10.1086/708546

Linkki tutkimusaineistoon: https://doi.org/10.5061/dryad.8sf7m0chx

Avoin saatavuus: Julkaisukanava ei ole avoin

Julkaisu on rinnakkaistallennettu (JYX): https://jyx.jyu.fi/handle/123456789/70408


Tiivistelmä

Understanding how nutrients flow through food webs is central in ecosystem ecology. Tracer addition experiments are powerful tools to reconstruct nutrient flows by adding an isotopically enriched element into an ecosystem and tracking its fate through time. Historically, the design and analysis of tracer studies have varied widely, ranging from descriptive studies to modeling approaches of varying complexity. Increasingly, isotope tracer data are being used to compare ecosystems and analyze experimental manipulations. Currently, a formal statistical framework for analyzing such experiments is lacking, making it impossible to calculate the estimation errors associated with the model fit, the interdependence of compartments, and the uncertainty in the diet of consumers. In this article we develop a method based on Bayesian hidden Markov models and apply it to the analysis of N15‐NH4+ tracer additions in two Trinidadian streams in which light was experimentally manipulated. Through this case study, we illustrate how to estimate N fluxes between ecosystem compartments, turnover rates of N within those compartments, and the associated uncertainty. We also show how the method can be used to compare alternative models of food web structure, calculate the error around derived parameters, and make statistical comparisons between sites or treatments.


YSO-asiasanat: ravinteet; ravintoverkot; ravinnonotto; ekosysteemit; markkerit; bayesilainen menetelmä; Markovin ketjut

Vapaat asiasanat: food webs; hidden Markov model (HMM); isotope tracer addition; model selection; nutrient uptake; state-space models.


Liittyvät organisaatiot


Hankkeet, joissa julkaisu on tehty


OKM-raportointi: Kyllä

Raportointivuosi: 2020

Alustava JUFO-taso: 3


Viimeisin päivitys 2021-02-02 klo 09:51