ArticleScientific reports2017
Plant survival and keystone pollinator species in stochastic coextinction models: role of intrinsic dependence on animal-pollination.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 44 citations in OpenAlex.
- Extending Specimens to Save Plant DNA: Structuring Department DNA Collections in Times of Biodiversity Loss.Ecology and evolution · 2026Article
- The interplay between local biodiversity floral odours and reproductive success varies across different population sizes ofRoyal Society open science · 2025Article
- The diversity of animals identified as keystone species.Ecology and evolution · 2023Article
- The role ofEcology and evolution · 2022Article
- Modeling scale up of anthropogenic impacts from individual pollinator behavior to pollination systems.Conservation biology : the journal of the Society for Conservation Biology · 2021Article
- Seasonal dynamics of plant pollinator networks in agricultural landscapes: how important is connector species identity in the network?Oecologia · 2021Article
- Co-adaptation enhances the resilience of mutualistic networks.Journal of the Royal Society, Interface · 2020Article
- Robustness to extinction and plasticity derived from mutualistic bipartite ecological networks.Scientific reports · 2020Article
- Assessing the utility of conserving evolutionary history.Biological reviews of the Cambridge Philosophical Society · 2019Article
- Specialization in plant-pollinator networks: insights from local-scale interactions in Glenbow Ranch Provincial Park in Alberta, Canada.BMC ecology · 2019Article
- Effects of model choice, network structure, and interaction strengths on knockout extinction models of ecological robustness.Ecology and evolution · 2018Article
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Coextinction models are useful to understand community robustness to species loss and resilience to disturbances. We simulated pollinator extinctions in pollination networks by using a hybrid model that combined a recently developed stochastic coextinction model (SCM) for plant extinctions and a topological model (TCM) for animal extinctions. Our model accounted for variation in interaction strengths and included empirical estimates of plant dependence on pollinators to set seeds. The stochastic nature of such model allowed us determining plant survival to single (and multiple) extinction events, and identifying which pollinators (keystone species) were more likely to trigger secondary extinctions. Consistently across three different pollinator removal sequences, plant robustness was lower than in a pure TCM, and plant survival was more determined by dependence on the mutualism than by interaction strength. As expected, highly connected and dependent plants were the most sensitive to pollinator loss and collapsed faster in extinction cascades. We predict that the relationship between dependence and plant connectivity is crucial to determine network robustness to interaction loss. Finally, we showed that honeybees and several beetles were keystone species in our communities. This information is of great value to foresee consequences of pollinator losses facing current global change and to identify target species for effective conservation.
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