The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Species–energy relationships at the macroecological scale: a review of the mechanisms
Open accessAbstract
Correlations between the amount of energy received by an assemblage and the number of species that it contains are very general, and at the macro-scale such species-energy relationships typically follow a monotonically increasing curve. Whilst the ecological literature contains frequent reports of such relationships, debate on their causal mechanisms is limited and typically focuses on the role of energy availability in controlling the number of individuals in an assemblage. Assemblages from high-energy areas may contain more individuals enabling species to maintain larger, more viable populations, whose lower extinction risk elevates species richness. Other mechanisms have, however, also been suggested. Here we identify and clarify nine principal mechanisms that may generate positive species-energy relationships at the macro-scale. We critically assess their assumptions and applicability over a range of spatial scales, derive predictions for each and assess the evidence that supports or refutes them. Our synthesis demonstrates that all mechanisms share at least one of their predictions with an alternative mechanism. Some previous studies of species-energy relationships appear not to have recognised the extent of shared predictions, and this may detract from their contribution to the debate on causal mechanisms. The combination of predictions and assumptions made by each mechanism is, however, unique, suggesting that, in principle, conclusive tests are possible. Sufficient testing of all mechanisms has yet to be conducted, and no single mechanism currently has unequivocal support. Each may contribute to species-energy relationships in some circumstances, but some mechanisms are unlikely to act simultaneously. Moreover, a limited number appear particularly likely to contribute frequently to species-energy relationships at the macro-scale. The increased population size, niche position and diversification rate mechanisms are particularly noteworthy in this context.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
On Optimal Use of a Patchy Environment
MacArthur, R. H., & Pianka, E. R. (1966) · The American Naturalist · doi:10.1086/282454 · Cited by 4,593
Species Diversity in Space and Time
Rosenzweig, M. L. (1995) · doi:10.1017/cbo9780511623387 · Cited by 3,690
A General Hypothesis of Species Diversity
Huston, M. (1979) · The American Naturalist · doi:10.1086/283366 · Cited by 3,390
WHAT IS THE OBSERVED RELATIONSHIP BETWEEN SPECIES RICHNESS AND PRODUCTIVITY?
Mittelbach, G. G., Steiner, C. F., Scheiner, S. M., Gross, K. L., Reynolds, H. L., Waide, R. B., Willig, M. R., Dodson, S. I., & Gough, L. (2001) · Ecology · doi:10.1890/0012-9658(2001)082[2381:witorb]2.0.co;2 · Cited by 1,650
Climatic control of vegetation distribution: the role of the water balance
Stephenson, N. L. (1990) · The American Naturalist · doi:10.1086/285067 · Cited by 848
Determinants of rate variation in mammalian DNA sequence evolution.
Bromham, L., Rambaut, A., & Harvey, P. H. (1996) · Journal of Molecular Evolution · doi:10.1007/bf02202109 · Cited by 291
Molecular Clocks in Reptiles: Life History Influences Rate of Molecular Evolution
Bromham, L. (2002) · Molecular Biology and Evolution · doi:10.1093/oxfordjournals.molbev.a004083 · Cited by 142 · cited 1×
“Conversely, other studies report that body size influences molecular evolution rates in reptiles and mammals (Bromham, Rambaut & Harvey, 1996; Bromham, 2002).”
BackgroundMetabolic Rate, Generation Time, and the Rate of Molecular Evolution in Birds
Mooers, A. Ø., & Harvey, P. H. (1994) · Molecular Phylogenetics and Evolution · doi:10.1006/mpev.1994.1040 · Cited by 141 · cited 1×
“Genetic distances of species pairs, measured relative to an outgroup, by either the relative rates test or DNA hybridisation distances, should thus be greater in species occupying high-energy areas (Li & Graur, 1991; Mooers & Harvey, 1994; Bromham & Cardillo, 2003).”
Background
Cited by
Global patterns and predictors of marine biodiversity across taxa
Tittensor, D. P., Mora, C., Jetz, W., Lotze, H. K., Ricard, D., Berghe, E. V., & Worm, B. (2010) · Nature · doi:10.1038/nature09329 · Cited by 1,524
Tuanmu, M., & Jetz, W. (2015) · Global Ecology and Biogeography · doi:10.1111/geb.12365 · Cited by 331
THE INFLUENCE OF PRODUCTIVITY ON THE SPECIES RICHNESS OF PLANTS: A CRITICAL ASSESSMENT
Gillman, L. N., & Wright, S. D. (2006) · Ecology · doi:10.1890/0012-9658(2006)87[1234:tiopot]2.0.co;2 · Cited by 305
Human Appropriation of Net Primary Production: Patterns, Trends, and Planetary Boundaries
Haberl, H., Erb, K.-H., & Krausmann, F. (2014) · Annual Review of Environment and Resources · doi:10.1146/annurev-environ-121912-094620 · Cited by 275
Social conflict models: Can they inform us about human psychopathology?
Huhman, K. L. (2006) · Hormones and Behavior · doi:10.1016/j.yhbeh.2006.06.022 · Cited by 243
Metadata
- Authors
- Evans, K. L., Warren, P. H., & Gaston, K. J.
- Venue
- Biological Reviews
- Publisher
- Wiley
- Published
- 2005-02
- Volume
- 80
- Issue
- 1
- Pages
- 1-25
- ISSN
- 0006-3231 (ISSN-L)
- 1464-7931
- 1469-185X
- OpenAlex
- W2097432774
- Cited by
- 750
- References
- 8
- FWCI
- 4.63
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.