Back

The modelling of community assembly during seagrass restoration

Allwright, J. C.; Bull, J. C.; Fowler, M. S.

2026-02-25 ecology
10.64898/2026.02.24.707629 bioRxiv
Show abstract

Successful seagrass restoration will provide habitat for a variety of species. Here, ecological community assembly in a newly planted seagrass meadow has been modelled mathematically using a combination of numerical integration and a permanence-based method, and using real data to parametrise the models. We have studied the transient dynamics of the system: how the ecological communities assemble and change over a 100-year period. Using a trophic structure and a range of species pool sizes, we investigated how much variability there was in community size for a given sized species pool, whether it is possible to use early monitoring to predict the final community size, and to what extent monitoring gives an indication of final vs transient species. For the majority of cases modelled, the community either reached or was headed towards an endpoint community which was uniquely determined by the species pool. However, for 1.4% of cases, no unique endpoint community could be calculated. The simulated communities began to assemble within the first ten years, but 13% had still not reached their endpoint community even after 100 years. In 62% of our models, no consumer species colonised in the first two years, suggesting that monitoring should certainly be continued beyond a two-year period. We counted how many of the species that were present at any observation point in the 100 years would also be present in the endpoint community, and found that this proportion generally decreased with increasing species pool size, to an average of 86% when the species pool had 49-56 consumer species. By monitoring the community over the first ten years, it is not possible to deduce what the final community will be; however a very small number of fauna species present over the first ten years might be used to predict very small endpoint communities.

Matching journals

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

1
Methods in Ecology and Evolution
160 papers in training set
Top 0.2%
18.6%
2
Ecological Modelling
24 papers in training set
Top 0.1%
8.4%
3
PLOS Computational Biology
1633 papers in training set
Top 5%
7.2%
4
Ecology Letters
121 papers in training set
Top 0.2%
6.8%
5
Ecology and Evolution
232 papers in training set
Top 0.5%
4.8%
6
Oikos
74 papers in training set
Top 0.1%
4.8%
50% of probability mass above
7
Ecography
50 papers in training set
Top 0.2%
4.8%
8
Peer Community Journal
254 papers in training set
Top 0.8%
3.7%
9
Scientific Reports
3102 papers in training set
Top 35%
3.7%
10
PLOS ONE
4510 papers in training set
Top 40%
3.6%
11
Philosophical Transactions of the Royal Society B
51 papers in training set
Top 2%
2.6%
12
Theoretical Ecology
21 papers in training set
Top 0.1%
1.9%
13
Frontiers in Ecology and Evolution
60 papers in training set
Top 2%
1.9%
14
Ecological Applications
28 papers in training set
Top 0.2%
1.9%
15
Nature Communications
4913 papers in training set
Top 50%
1.8%
16
PeerJ
261 papers in training set
Top 8%
1.5%
17
Ecosphere
53 papers in training set
Top 0.4%
1.3%
18
Ecology
70 papers in training set
Top 0.6%
1.2%
19
Journal of Animal Ecology
63 papers in training set
Top 0.7%
1.2%
20
Royal Society Open Science
193 papers in training set
Top 3%
1.1%
21
Journal of The Royal Society Interface
189 papers in training set
Top 4%
0.9%
22
Global Change Biology
69 papers in training set
Top 2%
0.8%
23
Proceedings of the Royal Society B: Biological Sciences
341 papers in training set
Top 6%
0.8%
24
Philosophical Transactions of the Royal Society B: Biological Sciences
53 papers in training set
Top 1%
0.7%
25
iScience
1063 papers in training set
Top 32%
0.7%
26
Journal of Applied Ecology
35 papers in training set
Top 0.8%
0.7%
27
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 46%
0.7%
28
eLife
5422 papers in training set
Top 61%
0.6%
29
Nature Ecology & Evolution
113 papers in training set
Top 5%
0.6%
30
BMC Biology
248 papers in training set
Top 6%
0.6%