A calcium‐based invasion risk assessment for zebra and quagga mussels (Dreissena spp)

By T. R. Whittier, P. Ringold, A. Herlihy, Suzanne M. Pierson. 2008

135 citations recorded by the source corpus.

Subfields: Ecology, Environmental Chemistry, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/ef07d201cf6734190a84e14205a468be07a7f824

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In Ecology

In Environmental Chemistry

In Nature and Landscape Conservation

Citations in the corpus

Invasive Species, Environmental Change and Management, and Health (2010, background): “) in the contiguous United States on the basis of calcium concentration data from over 3,000 stream and river sites (104); and modeling the risk of the emerald ash borer (Agrilus planipennis) spreading in Ohio, combining the insect’s inherent dispersal capabilities with options for human-facilitated”
A highly aggregated geographical distribution of forest pest invasions in the USA (2013, background): “…components of risk associated with habitat characteristics such as climate or host presence that affect the ability of invaders to establish (e.g. Whittier et al., 2008; Venette et al., 2010) or characteristics that affect propagule pressure, such as rates of cargo transport or ballast water…”
Recreational boating: a large unregulated vector transporting marine invasive species (2011, background): “In addition, the close proximity to Washington State and known connectivity to other US states on the coast make BC waters susceptible to primary international introductions.”
Twenty years of zebra mussels: lessons from the mollusk that made headlines (2009, background): “Models of the potential range predict that zebra mussels will spread much further across North America (Strayer 1991; Drake and Bossenbroek 2004; Whittier et al. 2008), but, ultimately, they will be limited by extreme temperatures (both warm and cold) and inadequate calcium concentrations.”
Potential range of the invasive fish rotan (Perccottus glenii) in the Holarctic (2011, background): “Collecting extensive information on local water features is challenging and integrating microhabitat features into large-scale SDMs is complex (but see also Whittier et al. 2008; Kumar et al. 2009).”