Plant survival and keystone pollinator species in stochastic coextinction models: role of intrinsic dependence on animal-pollination

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...

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Autores principales:	Anna Traveset, Cristina Tur, Víctor M. Eguíluz
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/5e0e547256184fd29135fda458de1256
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spelling	oai:doaj.org-article:5e0e547256184fd29135fda458de12562021-12-02T12:30:44ZPlant survival and keystone pollinator species in stochastic coextinction models: role of intrinsic dependence on animal-pollination10.1038/s41598-017-07037-72045-2322https://doaj.org/article/5e0e547256184fd29135fda458de12562017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-07037-7https://doaj.org/toc/2045-2322Abstract 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.Anna TravesetCristina TurVíctor M. EguíluzNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-10 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Anna Traveset Cristina Tur Víctor M. Eguíluz Plant survival and keystone pollinator species in stochastic coextinction models: role of intrinsic dependence on animal-pollination
description	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.
format	article
author	Anna Traveset Cristina Tur Víctor M. Eguíluz
author_facet	Anna Traveset Cristina Tur Víctor M. Eguíluz
author_sort	Anna Traveset
title	Plant survival and keystone pollinator species in stochastic coextinction models: role of intrinsic dependence on animal-pollination
title_short	Plant survival and keystone pollinator species in stochastic coextinction models: role of intrinsic dependence on animal-pollination
title_full	Plant survival and keystone pollinator species in stochastic coextinction models: role of intrinsic dependence on animal-pollination
title_fullStr	Plant survival and keystone pollinator species in stochastic coextinction models: role of intrinsic dependence on animal-pollination
title_full_unstemmed	Plant survival and keystone pollinator species in stochastic coextinction models: role of intrinsic dependence on animal-pollination
title_sort	plant survival and keystone pollinator species in stochastic coextinction models: role of intrinsic dependence on animal-pollination
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/5e0e547256184fd29135fda458de1256
work_keys_str_mv	AT annatraveset plantsurvivalandkeystonepollinatorspeciesinstochasticcoextinctionmodelsroleofintrinsicdependenceonanimalpollination AT cristinatur plantsurvivalandkeystonepollinatorspeciesinstochasticcoextinctionmodelsroleofintrinsicdependenceonanimalpollination AT victormeguiluz plantsurvivalandkeystonepollinatorspeciesinstochasticcoextinctionmodelsroleofintrinsicdependenceonanimalpollination
_version_	1718394337908228096

Plant survival and keystone pollinator species in stochastic coextinction models: role of intrinsic dependence on animal-pollination

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