Mapping the various anthropogenic threats to species is a key tool to support and guide effective decisions for management of these threats. While there are a range of approaches to mapping threats, the extent to which these provide consistent or differing results has not been investigated. The overall aim of this study was to address this gap by explicitly testing how threat mapping methods vary. To achieve this, we examined the extent to which conservation management priorities change depending on the method used to map threats. This includes methods with increasing levels of spatial and species-specific information: (1) cumulative threats; (2) cumulative threats restricted to species distributions; (3) threat-species hotspots; and, (4) cumulative impacts. We used Australia’s North Marine Region as a case study and focused on 16 species deemed the highest priority for threat management due to their heightened vulnerability to these threats. Visual and tabulated comparisons of these four maps reveal how refining the underlying detail transforms the spatial footprint of each map and therefore, the management implications. Across all four methods there was consistent identification of the coastal zone as the area with highest threats. We found that the cumulative impact method required the greatest data inputs, but in return provided the greatest level of detail in terms of where to act and which threats to manage for vulnerable species.

Item Type:	Refereed Article
Keywords:	threat management, North Marine Region, migratory marine species, conservation, threatened marine species, cumulative impact
Research Division:	Environmental Sciences
Research Group:	Environmental management
Research Field:	Conservation and biodiversity
Objective Division:	Environmental Management
Objective Group:	Marine systems and management
Objective Field:	Marine systems and management not elsewhere classified
UTAS Author:	Ostwald, A (Miss Ashlea Ostwald)
UTAS Author:	Bax, NJ (Professor Nicholas Bax)
UTAS Author:	Adams, VM (Associate Professor Vanessa Adams)
ID Code:	145517
Year Published:	2021
Web of Science® Times Cited:	2
Deposited By:	Geography and Spatial Science
Deposited On:	2021-07-25
Last Modified:	2022-08-25
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