Stability, resilience and eco-evolutionary feedbacks of mutualistic networks to rising temperature

被引:1
|
作者
Baruah, Gaurav [1 ]
Lakaemper, Tim [1 ]
机构
[1] Univ Bielefeld, Fac Biol, Theoret Biol, Bielefeld, Germany
关键词
collapse; critical transitions; eco-evolutionary dynamics; individual variation; mutualistic networks; nestedness; stability; warming; CLIMATE-CHANGE; RAPID EVOLUTION; PLANT; PHENOLOGY; RESPONSES; ARCHITECTURE; COMPETITION; COLLAPSE;
D O I
10.1111/1365-2656.14118
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Ecological networks comprising of mutualistic interactions can suddenly transition to undesirable states, such as collapse, due to small changes in environmental conditions such as a rise in local environmental temperature. However, little is known about the capacity of such interaction networks to adapt to a rise in temperature and the occurrence of critical transitions. Here, combining quantitative genetics and mutualistic dynamics in an eco-evolutionary framework, we evaluated the stability and resilience of mutualistic networks to critical transitions as environmental temperature increases. Specifically, we modelled the dynamics of an optimum trait that determined the tolerance of species to local environmental temperature as well as to species interaction. We then evaluated the impact of individual trait variation and evolutionary dynamics on the stability of feasible equilibria, the occurrence of threshold temperatures at which community collapses, and the abruptness of such community collapses. We found that mutualistic network architecture, that is the size of the community and the arrangement of species interactions, interacted with evolutionary dynamics to impact the onset of network collapses. Some networks had more capacity to track the rise in temperatures than others and thereby increased the threshold temperature at which the networks collapsed. However, such a result was modulated by the amount of heritable trait variation species exhibited, with high trait variation in the mean optimum phenotypic trait increasing the environmental temperature at which networks collapsed. Furthermore, trait variation not only increased the onset of temperatures at which networks collapsed but also increased the local stability of feasible equilibria. Our study argued that mutualistic network architecture interacts with species evolutionary dynamics and increases the capacity of networks to adapt to changes in temperature and thereby delayed the occurrence of community collapses. Resilience of complex networks to increasing temperature depends on the ability to adapt to changing temperature and changing species interactions. Some networks become more resilient than others, which is enhanced by whether species are able to adapt to changes in species interaction and changes in temperature.image
引用
收藏
页码:989 / 1002
页数:14
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