Groom, Rachel, Neil, Kerry, and Marsh, Helene (2018) Suggested improvements to the Australian Environmental Impact Assessment process to benefit marine megafauna. Environmental and Planning Law Journal, 35 (1). pp. 46-59.

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Abstract

Performance of the Environmental Impact Assessment (EIA) process is often perceived to be flawed. Testing the process requires investigation of core environmental legislation, regulation and a review of outcomes following an EIA, all of which are rarely undertaken. We use recent coastal development assessments in Australia to complete such a review focusing on the current Commonwealth impact assessment process and its ability to effectively manage risk for protected marine megafauna (turtles, dugongs and coastal dolphins). A range of factors are examined including data sufficiency, project and proponent constraints, knowledge of marine megafauna ecology and relevance of applied monitoring techniques. Challenges associated with identifying measures for effective protection are discussed with changes suggested to the assessment process to achieve an improved conservation goal and supporting truly sustainable development.

Item ID:	57728
Item Type:	Article (Research - C1)
ISSN:	0813-300X
Related URLs:	https://researchonline.jcu.edu.au/68014/
Copyright Information:	© 2019 Thomson Reuters (Professional) Australia Limited
Additional Information:	A version of this publication was included as Chapter 2 of the following PhD thesis: Groom, Rachel Alexis (2020) Re-thinking the assessment and monitoring of largescale coastal developments for improved marine megafauna outcomes. PhD thesis, James Cook University, which is available Open Access in ResearchOnline@JCU. Please see the Related URLs for access.
Date Deposited:	08 Apr 2019 23:20
FoR Codes:	41 ENVIRONMENTAL SCIENCES > 4104 Environmental management > 410402 Environmental assessment and monitoring @ 100%
SEO Codes:	96 ENVIRONMENT > 9607 Environmental Policy, Legislation and Standards > 960799 Environmental Policy, Legislation and Standards not elsewhere classified @ 100%
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