Probabilistic approaches to hazard assessment use species sensitivity distributions (SSDs) to characterize hazard for toxicants exposure for different species within a community. Many of the assumptions at the core of SSDs are unrealistic, among them the assumption that the tolerance levels of all species in a specific ecological community are a priori exchangeable for each new toxic substance. Here we propose the use of a particular test to detect situations where such an assumption is violated. Then, a new method based on non-nested random effects model is required to identify novel SSDs capable of taking into account species non-exchangeability. Credible intervals, representing SSD uncertainty, could be determined based on our procedure. This leads to new and reliable estimates of the environmental hazard. We present a Bayesian modeling approach to address model inference issues, using Markov chain Monte Carlo sampling.

Migliorati, S., Monti, G., Vighi, M. (2021). Ecological hazard assessment via species sensitivity distributions: The non-exchangeability issue. BIOMETRICAL JOURNAL, 63(4), 875-892 [10.1002/bimj.201900404].

Ecological hazard assessment via species sensitivity distributions: The non-exchangeability issue

Migliorati S.
;
Monti G. S.;Vighi M.
2021

Abstract

Probabilistic approaches to hazard assessment use species sensitivity distributions (SSDs) to characterize hazard for toxicants exposure for different species within a community. Many of the assumptions at the core of SSDs are unrealistic, among them the assumption that the tolerance levels of all species in a specific ecological community are a priori exchangeable for each new toxic substance. Here we propose the use of a particular test to detect situations where such an assumption is violated. Then, a new method based on non-nested random effects model is required to identify novel SSDs capable of taking into account species non-exchangeability. Credible intervals, representing SSD uncertainty, could be determined based on our procedure. This leads to new and reliable estimates of the environmental hazard. We present a Bayesian modeling approach to address model inference issues, using Markov chain Monte Carlo sampling.
Articolo in rivista - Articolo scientifico
Bayesian hierarchical model; ecological risk; hazardous concentration; non-nested random effects model; nonparametric test;
English
25-gen-2021
2021
63
4
875
892
reserved
Migliorati, S., Monti, G., Vighi, M. (2021). Ecological hazard assessment via species sensitivity distributions: The non-exchangeability issue. BIOMETRICAL JOURNAL, 63(4), 875-892 [10.1002/bimj.201900404].
File in questo prodotto:
File Dimensione Formato  
Migliorati-2021-BIOMJ-VoR.pdf

Solo gestori archivio

Tipologia di allegato: Publisher’s Version (Version of Record, VoR)
Licenza: Tutti i diritti riservati
Dimensione 1.07 MB
Formato Adobe PDF
1.07 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/301478
Citazioni
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 0
Social impact