Back

Life history and dispersal timing evolve in response to metapopulation connectedness

Masier, S.; Bonte, D.

2019-08-08 ecology
10.1101/476093 bioRxiv
Show abstract

Dispersal evolution impacts the fluxes of individuals and hence, connectivity in metapopulations. Connectivity is therefore decoupled from the structural connectedness of the patches within the spatial network. Because of demographic feedbacks, local selection can additionally steer the evolution of other life history traits. We investigated how different levels of connectedness affect dispersal and life history evolution by varying the interpatch distance in replicated experimental metapopulations of the two-spotted spider. We implemented a shuffling treatment to separate local- and metapopulation-level selection.\n\nWith lower metapopulation connectedness, an increased starvation resistance and delayed dispersal evolved. Intrinsic growth rates evolved at the local level by transgenerational plasticity or epigenetic processes. Changes in patch connectedness thus induce the genetic and non-genetic evolution of dispersal costs and demographic traits at both the local and metapopulation level. These trait changes are anticipated to impact metapopulations eco-evolutionary dynamics, and hence, the persistence and performance of spatially structured populations.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Oikos
○ 84 papers in training set
Top 0.1%
18.1%
Similar papers in this journal
2
Peer Community Journal
● 281 papers in training set
Top 0.3%
10.8%
Similar papers in this journal
3
Functional Ecology
○ 61 papers in training set
Top 0.1%
7.7%
Similar papers in this journal
4
The American Naturalist
● 125 papers in training set
Top 0.3%
6.6%
Similar papers in this journal
5
Ecology and Evolution
○ 267 papers in training set
Top 1%
5.4%
Similar papers in this journal
6
Ecology Letters
○ 135 papers in training set
Top 0.5%
4.7%
50% of probability mass above
7
Molecular Ecology
○ 336 papers in training set
Top 1%
4.7%
8
Ecology
○ 85 papers in training set
Top 0.5%
4.0%
9
Journal of Animal Ecology
○ 75 papers in training set
Top 0.4%
4.0%
10
Journal of Evolutionary Biology
◐ 110 papers in training set
Top 0.5%
3.4%
11
Proceedings of the Royal Society B: Biological Sciences
● 393 papers in training set
Top 2%
3.2%
12
Ecological Monographs
○ 21 papers in training set
Top 0.2%
2.4%
13
Journal of Applied Ecology
○ 39 papers in training set
Top 0.6%
2.1%
14
Oecologia
○ 28 papers in training set
Top 0.3%
1.7%
15
Global Change Biology
○ 78 papers in training set
Top 1%
1.5%
16
Ecological Applications
○ 34 papers in training set
Top 0.6%
1.3%
17
Ecography
○ 54 papers in training set
Top 1%
1.1%
18
Behavioral Ecology
◐ 36 papers in training set
Top 0.5%
1.1%
19
Nature Ecology & Evolution
131 papers in training set
Top 2%
1.1%
20
Nature Communications
○ 5641 papers in training set
Top 52%
1.0%
21
Evolution
◐ 225 papers in training set
Top 2%
1.0%
22
Evolutionary Applications
○ 108 papers in training set
Top 1%
1.0%
23
eLife
● 5828 papers in training set
Top 64%
0.9%
24
Diversity and Distributions
○ 28 papers in training set
Top 0.6%
0.8%
25
Journal of Ecology
○ 49 papers in training set
Top 0.9%
0.6%
26
Philosophical Transactions of the Royal Society B: Biological Sciences
● 72 papers in training set
Top 2%
0.6%
27
Evolution Letters
◐ 85 papers in training set
Top 2%
0.6%

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.