2019
DOI: 10.3390/w11040680
|View full text |Cite
|
Sign up to set email alerts
|

Beta Diversity Partitioning and Drivers of Variations in Fish Assemblages in a Headwater Stream: Lijiang River, China

Abstract: Beta diversity partitioning has currently received much attention in research of fish assemblages. However, the main drivers, especially the contribution of spatial and hydrological variables for species composition and beta diversity of fish assemblages are less well studied. To link species composition to multiple abiotic variables (i.e., local environmental variables, hydrological variables, and spatial variables), the relative roles of abiotic variables in shaping fish species composition and beta diversit… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(1 citation statement)
references
References 53 publications
0
1
0
Order By: Relevance
“…Our measured variation explaining beta diversity ranged from 25-81%, which is high relative to other studies investigating similar questions (Gianuca et al, 2018;Burdon et al, 2019;Benone et al, 2020). Many freshwater studies investigating drivers of beta diversity using variation partitioning have explained around 30% of the variation for a variety of taxa including stream macroinvertebrates, ostracods, fish, and macrophytes (Alahuhta and Heino, 2013;de Campos et al, 2018;Huang et al, 2019;Krynak et al, 2019). Accounting for biogeographical features of metacommunities while investigating taxonomic and functional beta diversity of Amazonian stream fishes resulted in explained community variance above 60% (Benone et al, 2020).…”
Section: Discussionmentioning
confidence: 59%
“…Our measured variation explaining beta diversity ranged from 25-81%, which is high relative to other studies investigating similar questions (Gianuca et al, 2018;Burdon et al, 2019;Benone et al, 2020). Many freshwater studies investigating drivers of beta diversity using variation partitioning have explained around 30% of the variation for a variety of taxa including stream macroinvertebrates, ostracods, fish, and macrophytes (Alahuhta and Heino, 2013;de Campos et al, 2018;Huang et al, 2019;Krynak et al, 2019). Accounting for biogeographical features of metacommunities while investigating taxonomic and functional beta diversity of Amazonian stream fishes resulted in explained community variance above 60% (Benone et al, 2020).…”
Section: Discussionmentioning
confidence: 59%