Are we predicting the actual or apparent distribution of temperate marine fishes?

Are we predicting the actual or apparent distribution of temperate marine fishes?

Monk, Jacquomo, Ierodiaconou, Daniel, Harvey, Euan, Rattray, Alex and Versace, Vincent, L. 2012, Are we predicting the actual or apparent distribution of temperate marine fishes?, PLoS One, vol. 7, no. 4, Article number e34558, pp. 1-11.

Attached Files (Some files may be inaccessible until you login with your Deakin Research Online credentials)
Name			Description	MIMEType		Size	Downloads

Title	Are we predicting the actual or apparent distribution of temperate marine fishes?
Author(s)	Monk, Jacquomo Ierodiaconou, Daniel Harvey, Euan Rattray, Alex Versace, Vincent, L.
Journal name	PLoS One
Volume number	7
Issue number	4
Season	Article number e34558
Start page	1
End page	11
Total pages	11
Publisher	Public Library of Science
Place of publication	San Francisco, Calif.
Publication date	2012-04-19
ISSN	1932-6203
Keyword(s)	animals area under curve computer simulation conservation of natural resources data collection ecosystem fishes biological models oceans and seas ROC curve video recording
Summary	Planning for resilience is the focus of many marine conservation programs and initiatives. These efforts aim to inform conservation strategies for marine regions to ensure they have inbuilt capacity to retain biological diversity and ecological function in the face of global environmental change – particularly changes in climate and resource exploitation. In the absence of direct biological and ecological information for many marine species, scientists are increasingly using spatially-explicit, predictive-modeling approaches. Through the improved access to multibeam sonar and underwater video technology these models provide spatial predictions of the most suitable regions for an organism at resolutions previously not possible. However, sensible-looking, well-performing models can provide very different predictions of distribution depending on which occurrence dataset is used. To examine this, we construct species distribution models for nine temperate marine sedentary fishes for a 25.7 km2 study region off the coast of southeastern Australia. We use generalized linear model (GLM), generalized additive model (GAM) and maximum entropy (MAXENT) to build models based on co-located occurrence datasets derived from two underwater video methods (i.e. baited and towed video) and fine-scale multibeam sonar based seafloor habitat variables. Overall, this study found that the choice of modeling approach did not considerably influence the prediction of distributions based on the same occurrence dataset. However, greater dissimilarity between model predictions was observed across the nine fish taxa when the two occurrence datasets were compared (relative to models based on the same dataset). Based on these results it is difficult to draw any general trends in regards to which video method provides more reliable occurrence datasets. Nonetheless, we suggest predictions reflecting the species apparent distribution (i.e. a combination of species distribution and the probability of detecting it). Consequently, we also encourage researchers and marine managers to carefully interpret model predictions.
Language	eng
Field of Research	070499 Fisheries Sciences not elsewhere classified
Socio Economic Objective	960808 Marine Flora, Fauna and Biodiversity
HERDC Research category	C1 Refereed article in a scholarly journal
Copyright notice	©2012, Monk et al.
Persistent URL	http://hdl.handle.net/10536/DRO/DU:30046908

Document type:	Journal Article
Collections:	School of Information Systems School of Life and Environmental Sciences

Citation counts:	Cited 0 times in TR Web of Science
Access Statistics:	22 Abstract Views, 2 File Downloads - Detailed Statistics
Created:	Mon, 13 Aug 2012, 12:40:24 EST

Deakin Research Online

Are we predicting the actual or apparent distribution of temperate marine fishes?

Study

Research

Access Deakin

On campus

Connect