Informing species conservation at multiple scales using data collected for marine mammal stock assessments
Grech, Alana, Sheppard, James, and Marsh, Helene (2011) Informing species conservation at multiple scales using data collected for marine mammal stock assessments. PLoS ONE, 6 (3). pp. 1-8.
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Background Conservation planning and the design of marine protected areas (MPAs) requires spatially explicit information on the distribution of ecological features. Most species of marine mammals range over large areas and across multiple planning regions. The spatial distributions of marine mammals are difficult to predict using habitat modelling at ecological scales because of insufficient understanding of their habitat needs, however, relevant information may be available from surveys conducted to inform mandatory stock assessments.
Methodology and Results We use a 20-year time series of systematic aerial surveys of dugong (Dugong dugong) abundance to create spatially-explicit models of dugong distribution and relative density at the scale of the coastal waters of northeast Australia (~136,000 km2). We interpolated the corrected data at the scale of 2 km * 2 km planning units using geostatistics. Planning units were classified as low, medium, high and very high dugong density on the basis of the relative density of dugongs estimated from the models and a frequency analysis. Torres Strait was identified as the most significant dugong habitat in northeast Australia and the most globally significant habitat known for any member of the Order Sirenia. The models are used by local, State and Federal agencies to inform management decisions related to the Indigenous harvest of dugongs, gill-net fisheries and Australia's National Representative System of Marine Protected Areas.
Conclusion/Significance In this paper we demonstrate that spatially-explicit population models add value to data collected for stock assessments, provide a robust alternative to predictive habitat distribution models, and inform species conservation at multiple scales.
|Item Type:||Article (Refereed Research - C1)|
© 2011 Grech et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
|FoR Codes:||05 ENVIRONMENTAL SCIENCES > 0502 Environmental Science and Management > 050211 Wildlife and Habitat Management @ 50%|
05 ENVIRONMENTAL SCIENCES > 0502 Environmental Science and Management > 050202 Conservation and Biodiversity @ 50%
|SEO Codes:||96 ENVIRONMENT > 9608 Flora, Fauna and Biodiversity > 960802 Coastal and Estuarine Flora, Fauna and Biodiversity @ 50%|
96 ENVIRONMENT > 9608 Flora, Fauna and Biodiversity > 960808 Marine Flora, Fauna and Biodiversity @ 50%
|Funders:||Australian Marine Mammal Centre, Australian Department of Sustainability, Environment, Water, Population and Communities, Queensland Department of Environment and Resource Management, Queensland Government Growing the Smart State PhD Funding Programme, Great Barrier Reef Marine Park Authority, School of Earth and Environmental Sciences, James Cook University, Northern Territory Government, Torres Strait Regional Authority|
|Deposited On:||15 Jun 2011 16:53|
|Last Modified:||18 Oct 2013 01:15|
Last 12 Months: 17
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