2018
DOI: 10.1111/nph.15584
|View full text |Cite
|
Sign up to set email alerts
|

Tests of alternative evolutionary models are needed to enhance our understanding of biological invasions

Abstract: Contents Summary701I.Introduction701II.Why we need an explicitly evolutionary perspective702III.A case study invasion experiment702IV.The way forward703V.Conclusions705Acknowledgements706References706 Summary Comparing models of trait evolution might generate new insights into the role of evolutionary history in biological invasions. Assumptions underlying Darwin's naturalization conundrum suggest that close relatives are functionally similar. However, newer work is suggesting more complex relationships betw… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
8
0

Year Published

2019
2019
2020
2020

Publication Types

Select...
5
1

Relationship

1
5

Authors

Journals

citations
Cited by 7 publications
(8 citation statements)
references
References 47 publications
0
8
0
Order By: Relevance
“…These requirements make it unlikely that the phylogenetic relationships among species are, alone, representative of the similarities and differences required for invasion. As such, DNC lacks the nuance and complexity to further advance our understanding of the mechanisms driving invasion, and further testing should be restricted to studies exploring the relationship between evolution and invasion (Burns et al, ; Cadotte et al., ).. To advance our understanding of invasion, I advocate for the use of multi‐trait regression models that allow for the testing of how similarity in individual traits affects invasion success at multiple scales (Bennett & Pärtel, ; Carboni et al., ). Such models show promise, but require extensive trait data and are currently limited to the use of average values for a small number of traits.…”
Section: Discussionmentioning
confidence: 99%
“…These requirements make it unlikely that the phylogenetic relationships among species are, alone, representative of the similarities and differences required for invasion. As such, DNC lacks the nuance and complexity to further advance our understanding of the mechanisms driving invasion, and further testing should be restricted to studies exploring the relationship between evolution and invasion (Burns et al, ; Cadotte et al., ).. To advance our understanding of invasion, I advocate for the use of multi‐trait regression models that allow for the testing of how similarity in individual traits affects invasion success at multiple scales (Bennett & Pärtel, ; Carboni et al., ). Such models show promise, but require extensive trait data and are currently limited to the use of average values for a small number of traits.…”
Section: Discussionmentioning
confidence: 99%
“…Biological invasions represent major threats to biodiversity as invasive species can replace native species. Evolutionary and ecological studies are of major importance for understanding the patterns and causes of biological invasions, and plant and animal invasions have been extensively studied since the 19th century (Burns et al, 2018;Cadotte et al, 2018;MacDougall et al, 2009).…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, any model that asks only how plants should converge to maximize adaptation to external conditions will be blind to the advantages of divergence from the dominant competitors in any particular environment. Phylogenetic and/or ecological divergence from natives as an important factor driving success of introduced species has been argued and supported by many, including Darwin (1859), Strauss et al (2006), Diez et al (2008), van Kleunen et al (2010), Park and Potter (2013), and Burns et al, 2019a, b). The tension between divergence (in traits and/or phylogenetic relationships) to minimize competition and convergence to maximize growth in the absence of competition in a particular environment is one that ecologists and evolutionary biologists have yet to resolve (e.g., Cavender‐Bares et al, 2004a, b; Cavender‐Bares et al, 2018; Strauss et al, 2006; Cadotte et al, 2009; Evans et al 2009; Cleland et al, 2011; Weber et al, 2018; Bernard‐Verdier et al, 2012; Givnish et al, 2014; Cavender‐Bares, 2019; Chang and HilleRisLambers, 2019), and involves a dynamic that potentially ensures phenotypic diversity in any guild or community.…”
Section: Discussionmentioning
confidence: 99%
“…The strong statistical support for most of our hypotheses, and their generality across the Wisconsin angiosperm flora, illustrates the power of big data (Allen et al, 2019) for addressing broad ecological and evolutionary questions—here involving phylogenetics, traits, and coarse habitat distributions scored across native and introduced angiosperms in Wisconsin. Increasingly, big data and thoughtful analyses are being used to assess many ecological and evolutionary issues at regional and global scales in a phylogenetic framework, yielding insights of unprecedented geographic and phylogenetic scope (e.g., Ordonez et al, 2010; Du et al, 2015; Givnish et al, 2015, 2016; Thornhill et al, 2016; Baldwin et al, 2017; Razanojatova et al, 2017; Scherson et al, 2017; Seebens et al, 2017; Bruelheide et al, 2018; Moser et al, 2018; Burns et al, 2019a, b). The novel contributions contributed by this study are summarized below.…”
Section: Discussionmentioning
confidence: 99%