Habitat change in estuaries: predicting broad-scale responses of intertidal macrofauna to sediment mud content

By Simon F. Thrush, J. Hewitt, A. Norkko, P. Nicholls, G. Funnell, J. Ellis. 2003

267 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/f497141e86510a03c9af5c05cf05703cf6ce82bf

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In Global and Planetary Change

In Oceanography

Citations in the corpus

Integrating ecological, economic and social aspects to generate useful management information under the EU Directives' ‘ecosystem approach’ (2012, background): “Of course there are many problems related to this approach (see Ysebaert and Herman, 2002) but also challenges as shown by Thrush et al. (2003).”
Diversity and distribution of benthic macrofauna in the Baltic Sea Data inventory and its use for species distribution modelling and prediction (2010, unknown): “The roles played by many macrofaunal species are influenced by density, not just occurrence (Thrush et al. 2003).”
Animal-sediment relationships re-visited: Characterising species' distributions along an environmental gradient using canonical analysis and quantile regression splines (2008, methodology): “Recently, Thrush et al. (2003, 2005) modeled the relationship between soft-sediment benthic fauna and the percentage of mud (b63 µm) in sediments, using data obtained from sampling mud-tosand transects in 19 estuaries and harbours across the North Island of New Zealand.”
Climate change and Australian marine life (2007, unknown): “…al. 2006; 56Preen et al. 1995; 57Thomas et al. 1961; 58Gorgula & Connell 2004; 59Graham 1997, Cole et al. 2001; 60Andrew 1991; 61Norkko et al. 2002, Thrush et al. 2003a, 2003b, Lohrer et al. 2004; 62Staples 1980, Vance et al. 1985, Staples & Vance 1986, Vance et al. 1998; 63Zein-Eldin & Renaud…”
Distinctly variable mudscapes: Distribution gradients of intertidal macrofauna across the Dutch Wadden Sea☆ (2013, background): “In the DutchWadden Sea, as in other estuarine systems (e.g. Thrush et al., 2003b; van der Meer, 1991; Ysebaert et al., 2002), it has been shown that macrofauna have distinct environmental associations (Beukema, 1976; Compton et al., 2009; Kraan et al., 2010).”
Benthos distribution modelling and its relevance for marine ecosystem management (2015, background): ““Factorceiling” (Thrush et al., 2003), quantile regression (Cade and Noon, 2003; Vaz et al., 2008), and machine-learning methods recently introduced for DM such as random forest and boosted regression trees (Table 1) are also considered here.”