2023
DOI: 10.1101/2023.01.25.525558
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Structural asymmetry in biotic interactions as a tool to understand and predict ecological persistence

Abstract: A universal feature of ecological systems is that species do not interact with others with the same sign and strength. Yet, the consequences of this asymmetry in biotic interactions for the persistence (i.e. long-term viability) of individual species and entire communities remains unclear. To address this gap of knowledge, we conceptualize in this perspective these ecological observations by implementing a set of tools into the field of structural stability. By quantifying independently the size from the shape… Show more

Help me understand this report
View published versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
10
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
4

Relationship

2
2

Authors

Journals

citations
Cited by 4 publications
(10 citation statements)
references
References 82 publications
0
10
0
Order By: Relevance
“…To measure each species’ vulnerability to exclusion, we tested how resistant coexistence is to perturbations. Following a recently-developed approach 45,61 , we estimated the species exclusion distance, which corresponds to the minimal distance between the vector of intrinsic growth rates and the edges of the feasibility domain (vectors corresponding to either as a proxy for how strong a perturbation must be to change the coexistence outcome in each system. To calculate the distance between the vector of intrinsic growth rates and the edges of the feasibility domain, we applied the following formula 45 : …”
Section: Methodsmentioning
confidence: 99%
“…To measure each species’ vulnerability to exclusion, we tested how resistant coexistence is to perturbations. Following a recently-developed approach 45,61 , we estimated the species exclusion distance, which corresponds to the minimal distance between the vector of intrinsic growth rates and the edges of the feasibility domain (vectors corresponding to either as a proxy for how strong a perturbation must be to change the coexistence outcome in each system. To calculate the distance between the vector of intrinsic growth rates and the edges of the feasibility domain, we applied the following formula 45 : …”
Section: Methodsmentioning
confidence: 99%
“…This difference between raw and conditional probabilities of coexistence has led to the emergence of shape metrics of feasibility domains (Grilli et al, 2017;Saavedra et al, 2017). Recently Allen-Perkins et al (2023) showed that a notion of 'domain asymmetry' can be correlated with variations of population dynamics across species in experimental plant-communities. These results are promising, but do not yet test quantitative predictions regarding the robustness of species coexistence to actual perturbations.…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, a critical limitation to highlight is that our theoretical framework, under the assumption of global stability, does not accommodate the complex invasion phenomenon known as “residents strike back” (Mylius and Diekmann, 2001). Nevertheless, our proposed probabilistic frameworks has already been successfully applied to understand the behavior of communities that involve a wide range of interactions, dynamics, and populations (Allen-Perkins et al, 2023, Angulo et al, 2021, Bartomeus et al, 2021, Cenci et al, 2018, Deng et al, 2021, 2022, García-Callejas et al, 2023, Luo et al, 2022, Medeiros et al, 2021, Saavedra et al, 2017a, Song et al, 2018, 2017, Song and Saavedra, 2018, Song et al, 2023, 2021b, Tabi et al, 2020).…”
Section: Introductionmentioning
confidence: 99%