2023
DOI: 10.1016/j.ecoinf.2023.102163
|View full text |Cite
|
Sign up to set email alerts
|

Data-driven models for predicting community changes in freshwater ecosystems: A review

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2025
2025

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(1 citation statement)
references
References 229 publications
0
1
0
Order By: Relevance
“…Benthic invertebrate species differ in sensitivity toward environmental changes, dispersal capacity and ecological niches (Jowett & Richardson, 1990;Kenney et al, 2009). Their specific preferences for environmental conditions can be used in habitat suitability models, to predict their potential occurrence in stream networks (Hirzel & Le Lay, 2008) and analyse changes in community composition (Lee et al, 2023), Recently, species preferences were fed into the models as prior knowledge, to improve the performance of the models (Vermeiren et al, 2020(Vermeiren et al, , 2021. However, integrating dispersal and biotic interactions into habitat suitability models is difficult, and has rarely been done (Schuwirth et al, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…Benthic invertebrate species differ in sensitivity toward environmental changes, dispersal capacity and ecological niches (Jowett & Richardson, 1990;Kenney et al, 2009). Their specific preferences for environmental conditions can be used in habitat suitability models, to predict their potential occurrence in stream networks (Hirzel & Le Lay, 2008) and analyse changes in community composition (Lee et al, 2023), Recently, species preferences were fed into the models as prior knowledge, to improve the performance of the models (Vermeiren et al, 2020(Vermeiren et al, , 2021. However, integrating dispersal and biotic interactions into habitat suitability models is difficult, and has rarely been done (Schuwirth et al, 2016).…”
Section: Introductionmentioning
confidence: 99%