Back

Evolutionary effects of individual variation and dimensionality of higher-order interactions on the robustness of species coexistence

Baruah, G.; Barabas, G.; John Chandran, R.

2022-12-22 ecology
10.1101/2022.12.22.521465 bioRxiv
Show abstract

Although the eco-evolutionary effects of individual variation for species coexistence are still widely debated, theoretical evidence appears to support a negative impact on coexistence. Mechanistic models of eco-evolutionary effects of individual variation focus largely on pairwise interactions, while the dynamics of communities where both pairwise and higher-order interactions (HOIs) are pervasive are not known. In addition, most studies have focused on effects of high dimensional HOIs on species coexistence when in reality such HOIs could be highly structured and low-dimensional, as species interactions could primarily be mediated through phenotypic traits. Here, combining quantitative genetics and Lotka-Volterra equations, we explored the eco-evolutionary effects of individual variation on the patterns of species coexistence in a competitive community dictated by pairwise interactions and HOIs. Specifically, we compare six different models in which HOIs were modelled to be trait-mediated (low-dimensional) or random (high-dimensional) and evaluated its impact on robustness of species coexistence in the presence of different levels of individual variation. Across the six different models, we found that individual variation did not promote species coexistence, irrespective of whether interactions were pairwise or were of higher-order. However, individual trait variation could stabilize communities to external perturbation more so when interactions were of higher order. When compared across models, species coexistence is promoted when HOIs strengthen pairwise intraspecific competition more so than interspecific competition, and when HOIs act in a hierarchical manner. Additionally, across the models, we found that species traits tend to cluster together when individual variation in the community was low. We argue that, while individual variation can influence community patterns in many different ways, they more often lead to fewer species coexisting together.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Theoretical Ecology
21 papers in training set
Top 0.1%
22.7%
2
The American Naturalist
114 papers in training set
Top 0.1%
14.4%
3
Proceedings of the Royal Society B: Biological Sciences
341 papers in training set
Top 0.4%
10.2%
4
Ecology Letters
121 papers in training set
Top 0.2%
6.9%
50% of probability mass above
5
Ecology
70 papers in training set
Top 0.1%
4.6%
6
Oikos
74 papers in training set
Top 0.1%
4.4%
7
Journal of Theoretical Biology
144 papers in training set
Top 0.3%
3.6%
8
Philosophical Transactions of the Royal Society B
51 papers in training set
Top 2%
2.7%
9
Evolution
199 papers in training set
Top 1%
2.5%
10
Functional Ecology
53 papers in training set
Top 0.3%
2.1%
11
Journal of Animal Ecology
63 papers in training set
Top 0.4%
2.1%
12
Evolutionary Ecology
14 papers in training set
Top 0.1%
1.9%
13
Ecology and Evolution
232 papers in training set
Top 2%
1.8%
14
PLOS Computational Biology
1633 papers in training set
Top 16%
1.7%
15
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 32%
1.7%
16
Ecological Modelling
24 papers in training set
Top 0.4%
1.2%
17
Nature Ecology & Evolution
113 papers in training set
Top 4%
0.9%
18
Peer Community Journal
254 papers in training set
Top 3%
0.9%
19
Nature Communications
4913 papers in training set
Top 61%
0.8%
20
Philosophical Transactions of the Royal Society B: Biological Sciences
53 papers in training set
Top 1%
0.8%
21
Journal of Ecology
47 papers in training set
Top 0.4%
0.8%
22
Scientific Reports
3102 papers in training set
Top 75%
0.8%
23
Journal of Biosciences
12 papers in training set
Top 0.1%
0.8%
24
Ecosphere
53 papers in training set
Top 0.7%
0.8%
25
eLife
5422 papers in training set
Top 57%
0.8%
26
Journal of Evolutionary Biology
98 papers in training set
Top 1%
0.7%
27
Journal of The Royal Society Interface
189 papers in training set
Top 5%
0.7%
28
iScience
1063 papers in training set
Top 37%
0.6%
29
Ecography
50 papers in training set
Top 1%
0.6%
30
Frontiers in Ecology and Evolution
60 papers in training set
Top 5%
0.5%