2020
DOI: 10.1002/ecy.3106
|View full text |Cite
|
Sign up to set email alerts
|

Community assembly in a modular organism: the impact of environmental filtering on bryozoan colony form and polymorphism

Abstract: Understanding community assembly is a key goal in community ecology. Environmental filtering influences community assembly by excluding ill‐adapted species, resulting in communities with similar functional traits. An RLQ (a four‐way ordination) analysis incorporating spatial data was run on a data set of 642 species of cheilostomes (Bryozoa) from 779 New Zealand sites, and results were compared to trends in other sessile, epibenthic taxa. This revealed environmental filtering of colony form: encrusting‐cemente… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
8
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 11 publications
(8 citation statements)
references
References 68 publications
0
8
0
Order By: Relevance
“…To assess whether some plant species have a higher chance of being transported by particular waterfowl species, we used RLQ (Dolédec et al, 1996) and fourth-corner analyses (Dray et al, 2014). RLQ has traditionally been recommended to evaluate univariate relationships between environmental variables and species functional traits (Almeida et al, 2018;Schack et al, 2020;Silva J. L. A. et al, 2021). We have utilized the method to look instead at the relationships between waterfowl species traits (substituting environmental variables) and plant species functional traits.…”
Section: Discussionmentioning
confidence: 99%
“…To assess whether some plant species have a higher chance of being transported by particular waterfowl species, we used RLQ (Dolédec et al, 1996) and fourth-corner analyses (Dray et al, 2014). RLQ has traditionally been recommended to evaluate univariate relationships between environmental variables and species functional traits (Almeida et al, 2018;Schack et al, 2020;Silva J. L. A. et al, 2021). We have utilized the method to look instead at the relationships between waterfowl species traits (substituting environmental variables) and plant species functional traits.…”
Section: Discussionmentioning
confidence: 99%
“…colonial or erect) differed between the two regions. Planktotrophic (feeding) larvae are capable of re-settling to avoid non-optimal substrate [71], colonial forms are associated with high overgrowth abilities [72], and erect forms can provide better feeding performance [73]. Therefore, trait divergence observed later in development likely resulted from competitive dynamics and a mix of common and distinct trait mechanisms that define competitive abilities at each region.…”
Section: Discussionmentioning
confidence: 99%
“…Although some studies have described significant trait–environment relationships in marine species (Beukhof et al, 2019; Fernandez, Collins, Gittenberger, et al, 2020; Jansen et al, 2018; McClain et al, 2020; Mindel et al, 2016; Schack et al, 2020), few have also addressed the contribution of evolutionary history to trait biogeography in the marine environment (McLean et al, 2021). By jointly analysing spatial, environmental, trait and phylogenetic data of the species, we aim to test trait–environment relationships in hydroids across large spatial and environmental gradients and to evaluate associations between traits, environmental variables, space and phylogeny.…”
Section: Introductionmentioning
confidence: 99%
“…Studies show significant trait–environment relationships in marine species (Fernandez, Collins, Gittenberger, et al, 2020; Jansen et al, 2018; McClain et al, 2020; Mindel et al, 2016). A study of trait–environment relationships in bryozoans found that colony shape varies with depth and substrate and that polymorphism varies with depth and oxygen levels (Schack et al, 2020). Likewise, life‐history traits of marine fish, such as body length and growth, respond strongly to the environment (Beukhof et al, 2019).…”
Section: Introductionmentioning
confidence: 99%