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Steven Delean

Researcher at University of Adelaide

Publications -  61
Citations -  1889

Steven Delean is an academic researcher from University of Adelaide. The author has contributed to research in topics: Population & Pouch. The author has an hindex of 21, co-authored 59 publications receiving 1562 citations. Previous affiliations of Steven Delean include Australian Institute of Marine Science & James Cook University.

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Assessing loss of coral cover on Australia’s Great Barrier Reef over two decades, with implications for longer-term trends

TL;DR: In this paper, the authors examined long-term changes in live coral cover on GBR reefs using meta-analyses including historical data from before the mid-1980s, and found greater rates of loss of coral and recorded a marked decrease in living coral cover.
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Dissecting the null model for biological invasions: A meta-analysis of the propagule pressure effect

TL;DR: The authors' analyses reveal remarkable consistency in the form of the relationship between propagule pressure and alien population establishment success, using Bayesian meta-analytical methods.
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Where did all the pangolins go? International CITES trade in pangolin species

TL;DR: In this article, the authors used the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES) Trade Database to investigate global trends in pangolin trade at the species level, across a broad temporal scale (1977-2014).
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Recovery from disturbance of coral and reef fish communities on the Great Barrier Reef, Australia

TL;DR: Examination of changes in both hard coral and reef-fish assemblages over 15 yr following major losses of coral from exposed reefs in 2 widely separated sectors of the Great Barrier Reef shows that the recovery of the coral community and the complexity of underlying reef framework interact to determine the functional structure of associated fish communi- ties despite differences in regional settings.
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The theta-logistic is unreliable for modelling most census data

TL;DR: Theta‐logistic is a simple and flexible model for describing how the growth rate of a population slows as abundance increases and decreases in a convex or concave way when the population reaches carrying capacity.