Assessing the effect of abiotic predictors on river diatom co-occurrence networks’ metrics in the context of bioindication
Authors
Philippe Le Noac’h (ORCID: https://orcid.org/0000-0001-8866-751X)
Sakina-Dorothée Ayata
Philippe Usseglio-Polatera
Martin Laviale (ORCID: https://orcid.org/0009-0009-2078-9903)
Institutions
Institut Universitaire de France (FR)
Zone Atelier Moselle (FR)
Laboratoire Interdisciplinaire des Environnements Continentaux (FR)
Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (FR)
Université de Lorraine (FR)
Publication Details
Journal
SPIRE - Sciences Po Institutional REpository
Published
2025-04-28
Primary Topic
Diatoms and Algae Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article
Assessing the effect of abiotic predictors on river diatom co-occurrence networks’ metrics in the context of bioindication
Philippe Le Noac’h, Sakina-Dorothée Ayata, Philippe Usseglio-Polatera, Martin Laviale
Journal
SPIRE - Sciences Po Institutional REpository
Topics
Diatoms and Algae Research
article
Assessing the effect of abiotic predictors on river diatom co-occurrence networks’ metrics in the context of bioindication
Philippe Le Noac’h, Sakina-Dorothée Ayata, Philippe Usseglio-Polatera, Martin Laviale
article en
Abstract
No abstract available for this paper.
Publication Tag
SPIRE - Sciences Po Institutional REpository
Institutions
Institut Universitaire de France (FR), Zone Atelier Moselle (FR), Laboratoire Interdisciplinaire des Environnements Continentaux (FR), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (FR), Université de Lorraine (FR)