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Biodiversity and robustness of large ecosystems

Dynamical Systems · Submitted 7 Aug 2018

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

The authors' main claim Our main result establishes estimates of biodiversity in terms of the fundamental parameters of the model.

how it is stated · asserted 1.00 read the record →

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arXiv ID1808.02239 (version 1)
Pith IDKYGI3EEH, Pith's permanent record of this paper and its review
CitationSergey Vakulenko, Uno Wennergren, Vladimir G. Tkachev, Vladimir Kozlov. "Biodiversity and robustness of large ecosystems." arXiv:1808.02239 (2018). https://pith.science/paper/KYGI3EEH
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The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 4,163 input tokens.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.59 · human participants 0.02 · controlled comparison 0.04 · randomized assignment 0.03 · states quantitative result 0.31 · compares with prior results 0.09 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

We study the biodiversity problem for resource competition systems with extinctions and self-limitation effects. Our main result establishes estimates of biodiversity in terms of the fundamental parameters of the model. We also prove the global stability of solutions for systems with extinctions and large turnover rate. We show that when the extinction threshold is distinct from zero, the large time dynamics of system is fundamentally non-predictable. In the last part of the paper we obtain explicit analytical estimates of ecosystem robustness with respect to variations of resource supply which support the $R^*$ rule for a system with random parameters.

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 We study the biodiversity problem for resource competition systems with extinctions and self-limitation effects. contribution 0.81 0.90 0.03 asserted 0.68
s1 Our main result establishes estimates of biodiversity in terms of the fundamental parameters of the model. result 0.94 0.96 0.93 asserted 1.00
s2 We also prove the global stability of solutions for systems with extinctions and large turnover rate. result 0.96 0.96 0.06 asserted 1.00
s3 We show that when the extinction threshold is distinct from zero, the large time dynamics of system is fundamentally non-predictable. result 0.99 0.92 0.10 asserted 1.00
s4 In the last part of the paper we obtain explicit analytical estimates of ecosystem robustness with respect to variations of resource supply which support the $R^*$ rule for a system with random parameters. result 0.85 0.95 0.09 asserted 1.00

What kind of paper the classifier reports this is: theoretical result 1.00 · evidence from proof or derivation 1.00.

What was examined, and what was not

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  • arXiv listing abstract v1
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  • full text
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  • references and citing sentences
  • relations to other papers
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  • P abstract
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  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

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

We study the biodiversity problem for resource competition systems with extinctions and self-limitation effects. Our main result establishes estimates of biodiversity in terms of the fundamental parameters of the model. We also prove the global stability of solutions for systems with extinctions and large turnover rate. We show that when the extinction threshold is distinct from zero, the large time dynamics of system is fundamentally non-predictable. In the last part of the paper we obtain explicit analytical estimates of ecosystem robustness with respect to variations of resource supply which support the $R^*$ rule for a system with random parameters.

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