The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Cascading extinctions and community collapse in model food webs
Open accessAbstract
Species loss in ecosystems can lead to secondary extinctions as a result of consumer–resource relationships and other species interactions. We compare levels of secondary extinctions in communities generated by four structural food-web models and a fifth null model in response to sequential primary species removals. We focus on various aspects of food-web structural integrity including robustness, community collapse and threshold periods, and how these features relate to assumptions underlying different models, different species loss sequences and simple measures of diversity and complexity. Hierarchical feeding, a fundamental characteristic of food-web structure, appears to impose a cost in terms of robustness and other aspects of structural integrity. However, exponential-type link distributions, also characteristic of more realistic models, generally confer greater structural robustness than the less skewed link distributions of less realistic models. In most cases for the more realistic models, increased robustness and decreased levels of web collapse are associated with increased diversity, measured as species richness S , and increased complexity, measured as connectance C . These and other results, including a surprising sensitivity of more realistic model food webs to loss of species with few links to other species, are compared with prior work based on empirical food-web data.
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
Error and attack tolerance of complex networks
Albert, R., Jeong, H., & Barabási, A.-L. (2000) · Nature · doi:10.1038/35019019 · Cited by 7,534
Impacts of Biodiversity Loss on Ocean Ecosystem Services
Worm, B., Barbier, E. B., Beaumont, N., Duffy, J. E., Folke, C., Halpern, B. S., Jackson, J. B. C., Lotze, H. K., Micheli, F., Palumbi, S. R., et al. (2006) · Science · doi:10.1126/science.1132294 · Cited by 4,544
Consequences of changing biodiversity
Chapin III, F. S., Zavaleta, E. S., Eviner, V. T., Naylor, R. L., Vitousek, P. M., Reynolds, H. L., Hooper, D. U., Lavorel, S., Sala, O. E., Hobbie, S. E., et al. (2000) · Nature · doi:10.1038/35012241 · Cited by 4,282
Widespread amphibian extinctions from epidemic disease driven by global warming
Alan Pounds, J., Bustamante, M. R., Coloma, L. A., Consuegra, J. A., Fogden, M. P. L., Foster, P. N., La Marca, E., Masters, K. L., Merino-Viteri, A., Puschendorf, R., et al. (2006) · Nature · doi:10.1038/nature04246 · Cited by 1,960
Declining biodiversity can alter the performance of ecosystems
Naeem, S., Thompson, L. J., Lawler, S. P., Lawton, J. H., & Woodfin, R. M. (1994) · Nature · doi:10.1038/368734a0 · Cited by 1,786
Body size in ecological networks
WOODWARD, G., EBENMAN, B., EMMERSON, M., MONTOYA, J., OLESEN, J., VALIDO, A., & WARREN, P. (2005) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2005.04.005 · Cited by 1,251
Mammal Population Losses and the Extinction Crisis
Ceballos, G., & Ehrlich, P. R. (2002) · Science · doi:10.1126/science.1069349 · Cited by 968
Comparative losses of British butterflies, birds, and plants and the global extinction crisis
Thomas, J. A., Telfer, M. G., Roy, D. B., Preston, C. D., Greenwood, J. J. D., Asher, J., Fox, R., Clarke, R. T., & Lawton, J. H. (2004) · Science · doi:10.1126/science.1095046 · Cited by 955
Realistic species losses disproportionately reduce grassland resistance to biological invaders
Zavaleta, E. S., & Hulvey, K. B. (2004) · Science · doi:10.1126/science.1102643 · Cited by 366
Compilation and Network Analyses of Cambrian Food Webs
Dunne, J. A., Williams, R. J., Martinez, N. D., Wood, R. A., & Erwin, D. H. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060102 · Cited by 269
Self-citation
Cited by
Temporal dynamics and network analysis
Blonder, B., Wey, T. W., Dornhaus, A., James, R., & Sih, A. (2012) · Methods in Ecology and Evolution · doi:10.1111/j.2041-210x.2012.00236.x · Cited by 254
Spatial Guilds in the Serengeti Food Web Revealed by a Bayesian Group Model
Baskerville, E. B., Dobson, A. P., Bedford, T., Allesina, S., Anderson, T. M., & Pascual, M. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002321 · Cited by 113
“Now, by using group structures directly inferred from empirical webs, we can better guide investigations into the relationship between structure and various aspects of stability, for example robustness to secondary extinctions [53,54].”
Backgroundde Visser, S. N., Freymann, B. P., & Olff, H. (2011) · Journal of Animal Ecology · doi:10.1111/j.1365-2656.2010.01787.x · Cited by 89
Crabtree, S. A., Bird, D. W., & Bird, R. B. (2019) · Human Ecology · doi:10.1007/s10745-019-0053-z · Cited by 42
Widespread agrochemicals differentially affect zooplankton biomass and community structure
Hébert, M., Fugère, V., Beisner, B. E., Barbosa da Costa, N., Barrett, R. D. H., Bell, G., Shapiro, B. J., Yargeau, V., Gonzalez, A., & Fussmann, G. F. (2021) · Ecological Applications · doi:10.1002/eap.2423 · Cited by 34
Metadata
- Authors
- Dunne, J. A., & Williams, R. J.
- Venue
- Philosophical Transactions of the Royal Society B: Biological Sciences
- Publisher
- The Royal Society
- Published
- 2009-06-27
- Volume
- 364
- Issue
- 1524
- Pages
- 1711-1723
- ISSN
- 0962-8436 (ISSN-L)
- 1471-2970
- OpenAlex
- W2157202374
- Cited by
- 303
- References
- 11
- FWCI
- 18.33
- Type
- journal article
- Language
- en
- Open access
- hybrid
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Cascading extinctions and community collapse in model food webs. https://app.cochat.ai/papers/10.1098/rstb.2008.0219
- The paper
- Dunne, J. A., & Williams, R. J. (2009). Cascading extinctions and community collapse in model food webs. Philosophical Transactions of the Royal Society B: Biological Sciences. https://doi.org/10.1098/rstb.2008.0219
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.
