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Spatiotemporal landscape disturbance contributes to the suppression of competing invaders

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  • Yang, Yinghui
  • Han, Bang-Sheng
  • Wang, Qin

Abstract

Ecologists have established rich literatures on the relationship between disturbance and biodiversity. Yet for conservation and management purpose, there is no clear mechanism understanding of how disturbance implementation (e.g. pesticide, prescribed burning or human controlled grazing, mowing or flooding) alters the invasion outcome and even for what conditions, the established alien species could be successfully impeded. Here, we synthetically use pair approximation equations and spatial explicit simulations to explore a two-species competitive system which subject to spatial structured landscape disturbance and allow for habitat recovery. After analyzing the stability of non-invasion equilibrium points, we find that spatial aggregation and disturbing frequency (or habitat lifetime) play more important roles than recovering rate when applying disturbance control measure. But if keeping overall disturbance density fixed, the optimal strategy should depend on both spatial and temporal factors. In terms of target invasion system, native community with stronger fecundity has a wider successful control region and this area is not sensitive to invaders’ competitive power. Our results highlight a critical role of spatiotemporal landscape disturbance on invasion suppression and could also give some meaningful understandings of disturbance effect on competition coexistence.

Suggested Citation

  • Yang, Yinghui & Han, Bang-Sheng & Wang, Qin, 2019. "Spatiotemporal landscape disturbance contributes to the suppression of competing invaders," Ecological Modelling, Elsevier, vol. 393(C), pages 76-84.
    • Handle: RePEc:eee:ecomod:v:393:y:2019:i:c:p:76-84
    DOI: 10.1016/j.ecolmodel.2018.12.011
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    References listed on IDEAS

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    1. Ashraf Tayeh & Ruth A. Hufbauer & Arnaud Estoup & Virginie Ravigné & Léa Frachon & Benoit Facon, 2015. "Biological invasion and biological control select for different life histories," Nature Communications, Nature, vol. 6(1), pages 1-5, November.
    2. Yang, Yinghui & Li, Weide & Wang, Gang, 2014. "Can we use disease to control biological invasion?—A theoretical research," Ecological Modelling, Elsevier, vol. 277(C), pages 97-107.
    3. Charles E. Mitchell & Alison G. Power, 2003. "Release of invasive plants from fungal and viral pathogens," Nature, Nature, vol. 421(6923), pages 625-627, February.
    4. Пигнастый, Олег & Koжевников, Георгий, 2019. "Распределенная Динамическая Pde-Модель Программного Управления Загрузкой Технологического Оборудования Производственной Линии [Distributed dynamic PDE-model of a program control by utilization of t," MPRA Paper 93278, University Library of Munich, Germany, revised 02 Feb 2019.
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