The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
The modularity of pollination networks
Open accessAbstract
In natural communities, species and their interactions are often organized as nonrandom networks, showing distinct and repeated complex patterns. A prevalent, but poorly explored pattern is ecological modularity, with weakly interlinked subsets of species (modules), which, however, internally consist of strongly connected species. The importance of modularity has been discussed for a long time, but no consensus on its prevalence in ecological networks has yet been reached. Progress is hampered by inadequate methods and a lack of large datasets. We analyzed 51 pollination networks including almost 10,000 species and 20,000 links and tested for modularity by using a recently developed simulated annealing algorithm. All networks with >150 plant and pollinator species were modular, whereas networks with <50 species were never modular. Both module number and size increased with species number. Each module includes one or a few species groups with convergent trait sets that may be considered as coevolutionary units. Species played different roles with respect to modularity. However, only 15% of all species were structurally important to their network. They were either hubs (i.e., highly linked species within their own module), connectors linking different modules, or both. If these key species go extinct, modules and networks may break apart and initiate cascades of extinction. Thus, species serving as hubs and connectors should receive high conservation priorities.
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
Functional cartography of complex metabolic networks
Guimerà, R., & Nunes Amaral, L. A. (2005) · Nature · doi:10.1038/nature03288 · Cited by 3,983
Will a Large Complex System be Stable?
MAY, R. M. (1972) · Nature · doi:10.1038/238413a0 · Cited by 2,869
Food Webs: Linkage, Interaction Strength and Community Infrastructure
Paine, R. T. (1980) · The Journal of Animal Ecology · doi:10.2307/4220 · Cited by 1,824
Clements, F. E., & Long, F. L. (1923) · doi:10.5962/bhl.title.20274 · Cited by 56
Cited by
Review: Ecological networks – beyond food webs
Ings, T. C., Montoya, J. M., Bascompte, J., Blüthgen, N., Brown, L., Dormann, C. F., Edwards, F., Figueroa, D., Jacob, U., Jones, J. I., et al. (2009) · Journal of Animal Ecology · doi:10.1111/j.1365-2656.2008.01460.x · Cited by 934
Self-citationMorphological integration and developmental modularity
Klingenberg, C. P. (2008) · Annual Review of Ecology Evolution and Systematics · doi:10.1146/annurev.ecolsys.37.091305.110054 · Cited by 863
Neumeyer, X., & Santos, S. C. (2018) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2017.08.216 · Cited by 299
Compartments in a marine food web associated with phylogeny, body mass, and habitat structure.
Rezende, E. L., Albert, E. M., Fortuna, M. A., & Bascompte, J. (2009) · Ecology Letters · doi:10.1111/j.1461-0248.2009.01327.x · Cited by 258
Self-citationCross-depth analysis of marine bacterial networks suggests downward propagation of temporal changes
Cram, J. A., Xia, L. C., Needham, D. M., Sachdeva, R., Sun, F., & Fuhrman, J. A. (2015) · The ISME Journal · doi:10.1038/ismej.2015.76 · Cited by 133
Pires, M. M., Galetti, M., Donatti, C. I., Pizo, M. A., Dirzo, R., & Guimarães, P. R. (2014) · Oecologia · doi:10.1007/s00442-014-2971-1 · Cited by 87
Zhan, Y., Liu, W., Bao, Y., Zhang, J., Petropoulos, E., Li, Z., Lin, X., & Feng, Y. (2018) · Scientific Reports · doi:10.1038/s41598-018-26375-8 · Cited by 68
Hwang, B. K., Lee, S., Myoung, J., Hwang, S. J., Lim, J. M., Jeong, E. T., Park, S. G., & Youn, S. H. (2021) · MicrobiologyOpen · doi:10.1002/mbo3.1236 · Cited by 36
Convergent Evolutionary Paths in Biological and Technological Networks
Solé, R. V., Valverde, S., & Rodriguez-Caso, C. (2011) · Evolution: Education and Outreach · doi:10.1007/s12052-011-0346-1 · Cited by 20
Sun, Y., Li, J., Huang, J., Li, S., Li, Y., Lu, B., & Deng, X. (2025) · eLife · doi:10.7554/elife.96172.3 · Cited by 6
Metadata
- Authors
- Olesen, J. M., Bascompte, J., Dupont, Y. L., & Jordano, P.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2007-12-11
- Volume
- 104
- Issue
- 50
- Pages
- 19891-19896
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2070304262
- Cited by
- 2,639
- References
- 4
- FWCI
- 27.31
- Type
- journal article
- Language
- en
- Open access
- green
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.