Dispersal, disturbance and the contrasting biogeographies of New Zealand’s diadromous and non‐diadromous fish species

By J. Leathwick, Jane Elith, W. L. Chadderton, David K. Rowe, Trevor J. Hastie. 2008

174 citations recorded by the source corpus.

Subfields: Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/0d1743eefda876bd2dc9c0ed75ebd2b375d76b2b

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In Ecology

In Nature and Landscape Conservation

Citations in the corpus

Habitat-forming cold-water corals show affinity for seamounts in the New Zealand region (2011, background): “…the predicted distribution maps for the 5 habitat-forming coral species, can be used to assess the effectiveness of existing regional protection measures for biodiversity (as per Leathwick et al. 2008) and of the species as indicators of vulnerable marine ecosystem taxa (Parker et al. 2009).”
Assessing the effect of prevalence on the predictive performance of species distribution models using simulated data (2011, background): “, 2004), effects of species aggregation (Saura-Mas & Lloret, 2005; Leathwick et al., 2008) and other factors.”
Hotspots of plant invasion predicted by propagule pressure and ecosystem characteristics (2011, methodology): “It is expressed as a percentage of the null deviance for each response variable (Leathwick et al., 2008).”
A working guide to boosted regression trees. (2008, methodology): “Supporting software and a tutorial are provided as Supplementary material.”
Species Distribution Models: Ecological Explanation and Prediction Across Space and Time (2009, unknown): “Leathwick et al. (2008) constructed functionally relevant predictors of freshwater fish distributions, including estimates of catchment-driven variability in local flow, and access to and from the sea for migratory species.”
Contrasting patterns and mechanisms of spatial turnover for native and exotic freshwater fish in Europe (2009, background): “Whether the regional distribution of species is limited by constraints related to dispersal or environmental suitability has been a topic of continued debate among biogeographers and ecologists (Ricklefs & Schluter, 1993; Nekola & White, 1999; Gilbert & Lechowicz, 2004; Leathwick et al., 2008).”
Predicting distributions of invasive species (2013, background): “Methods are also developed for modelling river networks and summarising environmental conditions throughout the network while taking connectivity into account (Leathwick et al., 2008), although global rivers databases suitable for modelling are currently unavailable.”