By Lina Sorg
The invasion of nonnative species has widespread and detrimental effects on both local and global ecosystems. These intruders often spread and multiply prolifically, overtake and displace native species, alter the intended interactions between flora and fauna, and damage the environment and economy. A particularly pesky invader is the zebra mussel (Dreissena polymorpha). Given its abundancy, fecundity, and heartiness, zebra mussels frequently outcompete native bivalves. Their dominance interrupts the natural cycle of nutrients and disrupts the structure and function of infested waterworks. These so-called “ecosystem engineers” generate substantial removal costs for individuals, corporations, and towns; estimates indicate that zebra mussels cause $1 billion in damages and control costs every year.
While some species can easily spread upstream in unidirectional river environments, not all invasive species are able to do so. In a paper that published last week in the SIAM Journal on Applied Mathematics, Qihua Huang, Hao Wang, and Mark Lewis present a continuous-discrete hybrid population model that describes the invasive dynamics of zebra mussels in North American rivers. “We wanted to develop and apply a mathematical model to understand the interaction between population growth and dispersal, environmental conditions, and river flow in determining upstream invasion success of zebra mussels,” Huang said.
Three main phases—larvae, juveniles, and adults—characterize the mussel’s life cycle. Larvae are planktonic, and drift through the water for a few days or weeks before setting on a surface and activating the juvenile stage. Upon sexual maturation in their second year of life, juveniles are considered adults and can reproduce once water temperatures are warm enough. “The larval life stage is relatively short compared to the zebra mussel lifespan,” Huang said. “As a result, a model for the spread of zebra mussels in a river requires the introduction of different time scales.” The authors chose to assume that settled larvae, juveniles, and adults all have the same survival rate.
Zebra mussels’ survival in North American rivers is contingent upon a myriad of physical, biological, and chemical factors, including—but not limited to—water temperature, flow rates, salinity, turbidity, and pH levels. They are most heavily affected by unidirectional water flow, which shifts river sediment, sweeps mussel larvae downstream, and inhibits attachment to the benthos – the river bottom. “The dynamics of unidirectional water flow found in rivers can play an important role in determining invasion success,” Huang said. “The alteration of hydrodynamic regimes associated with water management has direct effects on river ecosystem dynamics.” As a result, it is difficult for zebra mussels to spread upstream in high flow rivers.
Because the zebra mussel has unusual dynamics, classical models do not suffice. Instead, the authors develop and employ a novel, impulsive, spatially-explicit population model. “In the model, the dynamics of the dispersing larvae stage are governed by an advection diffusion-reaction equation, while juvenile and adult growth are described by two difference equations that map the population density in the current year to the population density in the next year,” Huang said. These equations combine the process-oriented population growth model with a hydrological model, based on available data about river flow dynamics.
Past researchers have proposed three measures of population persistence that reflect reproductive output of zebra mussels. The measures denote the fundamental niche of the population, the source-sink distribution, and the net reproductive rate (R0) — the average number of adult mussels produced from a single adult throughout its lifetime. If R0>1, a population will grow; if R0<1, it will shrink. The authors extend these three traditional population measures to their hybrid model to investigate the impact of flow regime on distribution, profusion, and ultimate upstream spread.
“We determined conditions for persistence of zebra mussels in rivers as a function of temperature and flow rate,” Huang said. “The population persists in a river only when the flow velocity is low and the water temperature is moderate. We found that the population cannot persist in a river if it is unable to spread upstream.”
Additionally, the active nature of rivers makes them prone to variable landscapes and inconsistencies. “Deep pools and shallows in a river are examples of heterogeneities that typically occur on shorter spatial scales than the whole stretch of a river,” Huang said. “It would be interesting to further investigate how the heterogeneous landscapes affect the successful invasion of zebra mussels.” The authors believe that these heterogeneities might make it possible for zebra mussels to persist in rivers even without upstream spread.
Finally, the researchers could use their hybrid model to monitor the dynamics of other invasive species in rivers, such as the quagga mussel (Dreissena bugensis). “Quagga and zebra mussels possess similar morphologies, life cycles, and functional ecologies, but different sensitivities to environmental factors,” Huang said. “Patterns of relative dominance and competitive exclusion amongst these species may vary over space and time. As a future effort, we plan to extend our single-species model to a competition model to understand how the interaction between flow rate and environmental factors impact the persistence, extinction, and competitive exclusion in rivers.”
View the paper here. This paper is freely accessible for 90 days.
Source article: A Hybrid Continuous/Discrete-Time Model for Invasion Dynamics of Zebra Mussels in Rivers. SIAM Journal on Applied Mathematics, 77(3), 854-880.
About the authors: Qihua Huang is a professor in the School of Mathematics and Statistics at the Southwest University in China. Hao Wang is an associate professor in the Department of Mathematical and Statistical Sciences at the University of Alberta. Mark Lewis is a Senior Canada Research Chair in Mathematical Biology and a professor in the Department of Mathematical and Statistical Sciences and the Department of Biological Sciences at the University of Alberta.