Evidence map›Paper›PMID 28830995›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Covariations in ecological scaling laws fostered by community dynamics.

Silvia Zaoli, Andrea Giometto, Amos Maritan, Andrea Rinaldo

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Passage-Dependent Size Distributions of Human-Derived Cells: Implications for Metabolic Assays.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  2. A stochastic theory of urban metabolism.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Review
  4. Toward a metabolic theory of catchments: Scaling of water and carbon fluxes with size.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  5. Article
  6. Article
  7. Generalized size scaling of metabolic rates based on single-cell measurements with freshwater phytoplankton.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  8. Integrating macroecology through a statistical mechanics of adaptive matter.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Silvia ZaoliLaboratory of Ecohydrology, School of Architecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland.
Andrea GiomettoLaboratory of Ecohydrology, School of Architecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland; andrea.rinaldo@epfl.ch giometto@fas.harvard.edu maritan@pd.infn.it.ORCID 0000-0002-0544-6023
Amos MaritanDipartimento di Fisica ed Astronomia, Università di Padova, I-35131 Padova, Italy; andrea.rinaldo@epfl.ch giometto@fas.harvard.edu maritan@pd.infn.it.
Andrea RinaldoLaboratory of Ecohydrology, School of Architecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland; andrea.rinaldo@epfl.ch giometto@fas.harvard.edu maritan@pd.infn.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scaling laws in ecology, intended both as functional relationships among ecologically relevant quantities and the probability distributions that characterize their occurrence, have long attracted the interest of empiricists and theoreticians. Empirical evidence exists of power laws associated with the number of species inhabiting an ecosystem, their abundances, and traits. Although their functional form appears to be ubiquitous, empirical scaling exponents vary with ecosystem type and resource supply rate. The idea that ecological scaling laws are linked has been entertained before, but the full extent of macroecological pattern covariations, the role of the constraints imposed by finite resource supply, and a comprehensive empirical verification are still unexplored. Here, we propose a theoretical scaling framework that predicts the linkages of several macroecological patterns related to species' abundances and body sizes. We show that such a framework is consistent with the stationary-state statistics of a broad class of resource-limited community dynamics models, regardless of parameterization and model assumptions. We verify predicted theoretical covariations by contrasting empirical data and provide testable hypotheses for yet unexplored patterns. We thus place the observed variability of ecological scaling exponents into a coherent statistical framework where patterns in ecology embed constrained fluctuations.

Indexed as

EcosystemModels, BiologicalallometryKleiber’s lawmacroecologypower lawspecies–area relation

Identifiers

PMID28830995
PMCPMC5635898

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.