Survival analysis of a stochastic service–resource mutualism model in a polluted environment with pulse toxicant input

2019 ◽  
Vol 521 ◽  
pp. 591-606
Author(s):  
Hui Wang ◽  
Fangmei Pan ◽  
Meng Liu
Keyword(s):  
Survival Analysis ◽  
Polluted Environment ◽  
Service Resource ◽  
Mutualism Model ◽  
Resource Mutualism

scholarly journals Consistency in mutualism relies on local, rather than wider community biodiversity

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Katie Dunkley ◽  
Jo Cable ◽  
Sarah E. Perkins
Keyword(s):  
Biodiversity Loss ◽  
Context Dependency ◽  
Third Party ◽  
Interaction Patterns ◽  
Specific Time ◽  
Specific Time Point ◽  
Service Resource ◽  
Resource Mutualism ◽  
Time Point

AbstractMutualistic interactions play a major role in shaping the Earth’s biodiversity, yet the consistent drivers governing these beneficial interactions are unknown. Using a long-term (8 year, including > 256 h behavioural observations) dataset of the interaction patterns of a service-resource mutualism (the cleaner-client interaction), we identified consistent and dynamic predictors of mutualistic outcomes. We showed that cleaning was consistently more frequent when the presence of third-party species and client partner abundance locally increased (creating choice options), whilst partner identity regulated client behaviours. Eight of our 12 predictors of cleaner and client behaviour played a dynamic role in predicting both the quality (duration) and quantity (frequency) of interactions, and we suggest that the environmental context acting on these predictors at a specific time point will indirectly regulate their role in cleaner-client interaction patterns: context-dependency can hence regulate mutualisms both directly and indirectly. Together our study highlights that consistency in cleaner-client mutualisms relies strongly on the local, rather than wider community—with biodiversity loss threatening all environments this presents a worrying future for the pervasiveness of mutualisms.

scholarly journals Survival analysis of single-species population diffusion models with chemotaxis in polluted environment

2020 ◽  
Vol 5 (6) ◽  
pp. 6749-6765
Author(s):  
Xiangjun Dai ◽  
◽  
Suli Wang ◽  
Baoping Yan ◽  
Zhi Mao ◽  
...  
Keyword(s):  
Survival Analysis ◽  
Single Species ◽  
Diffusion Models ◽  
Polluted Environment ◽  
Species Population ◽  
Single Species Population
Sign in / Sign up

Export Citation Format

Share Document