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Speciation in a MacArthur model predicts growth, stability and adaptation in ecosystems dynamics

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Elena Bellavere, Christian H.S. Hamster, Joshua A. Dijksman

Populations and Evolution · Submitted 1 Mar 2018

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim Adding speciation to a MacArthur-style model so provides an attractively simple extension to explore the rich dynamics in evolving ecosystems.

how it is stated · asserted 0.90 read the record →

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arXiv ID1803.00487 (version 3)
Pith IDSHTYK7AB, Pith's permanent record of this paper and its review
CitationChristian H.S. Hamster, Elena Bellavere, Joshua A. Dijksman. "Speciation in a MacArthur model predicts growth, stability and adaptation in ecosystems dynamics." arXiv:1803.00487 (2018). https://pith.science/paper/SHTYK7AB
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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 5,412 input tokens.

What the abstract itself states, as probabilities: claims first 0.05 · states limitation 0.09 · human participants 0.02 · controlled comparison 0.06 · randomized assignment 0.01 · states quantitative result 0.04 · compares with prior results 0.22 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v3. Results and the main claim are underlined; .

Ecosystems dynamics is often considered as driven by a coupling of species' resource consumption and its population size dynamics. Such resource-population dynamics is captured by MacArthur-type models. One biologically relevant feature that would also need to be captured by such models is the introduction of new and different species. Speciation introduces a stochastic component in the otherwise deterministic MacArthur theory. We describe here how speciation can be implemented to yield a model that is consistent with current theory on equilibrium resource-consumer models, but also displays readily observable rank diversity metric changes. The model also reproduces a priority effect. Adding speciation to a MacArthur-style model so provides an attractively simple extension to explore the rich dynamics in evolving ecosystems.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 Ecosystems dynamics is often considered as driven by a coupling of species' resource consumption and its population size dynamics. background 1.00 0.03 0.03 asserted 0.63
s1 Such resource-population dynamics is captured by MacArthur-type models. background 1.00 0.04 0.03 asserted 1.00
s2 One biologically relevant feature that would also need to be captured by such models is the introduction of new and different species. gap 0.75 0.05 0.04 asserted 0.62
s3 Speciation introduces a stochastic component in the otherwise deterministic MacArthur theory. background 0.69 0.10 0.07 asserted 1.00
s4 We describe here how speciation can be implemented to yield a model that is consistent with current theory on equilibrium resource-consumer models, but also displays readily observable rank diversity metric changes. contribution 0.88 0.91 0.42 asserted 0.91
s5 The model also reproduces a priority effect. result 0.99 0.82 0.09 asserted 1.00
s6 Adding speciation to a MacArthur-style model so provides an attractively simple extension to explore the rich dynamics in evolving ecosystems. interpretation 0.92 0.61 0.49 asserted 0.90

What kind of paper the classifier reports this is: theoretical result 0.81 · evidence from simulation or computation 0.72.

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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

Ecosystems dynamics is often considered as driven by a coupling of species' resource consumption and its population size dynamics. Such resource-population dynamics is captured by MacArthur-type models. One biologically relevant feature that would also need to be captured by such models is the introduction of new and different species. Speciation introduces a stochastic component in the otherwise deterministic MacArthur theory. We describe here how speciation can be implemented to yield a model that is consistent with current theory on equilibrium resource-consumer models, but also displays readily observable rank diversity metric changes. The model also reproduces a priority effect. Adding speciation to a MacArthur-style model so provides an attractively simple extension to explore the rich dynamics in evolving ecosystems.

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