Towards understanding temporal and spatial dynamics of seagrass landscapes using time-series remote sensing

Lyons, Mitchell B., Roelfsema, Chris M. and Phinn, Stuart R. (2013) Towards understanding temporal and spatial dynamics of seagrass landscapes using time-series remote sensing. Estuarine Coastal and Shelf Science, 120 42-53. doi:10.1016/j.ecss.2013.01.015

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Author Lyons, Mitchell B.
Roelfsema, Chris M.
Phinn, Stuart R.
Title Towards understanding temporal and spatial dynamics of seagrass landscapes using time-series remote sensing
Journal name Estuarine Coastal and Shelf Science   Check publisher's open access policy
ISSN 0272-7714
Publication date 2013-03
Sub-type Article (original research)
DOI 10.1016/j.ecss.2013.01.015
Volume 120
Start page 42
End page 53
Total pages 12
Place of publication London, United Kingdom
Publisher Academic Press
Collection year 2014
Language eng
Abstract The spatial and temporal dynamics of seagrasses have been well studied at the leaf to patch scales, however, the link to large spatial extent landscape and population dynamics is still unresolved in seagrass ecology. Traditional remote sensing approaches have lacked the temporal resolution and consistency to appropriately address this issue. This study uses two high temporal resolution time-series of thematic seagrass cover maps to examine the spatial and temporal dynamics of seagrass at both an inter- and intra-annual time scales, one of the first globally to do so at this scale. Previous work by the authors developed an object-based approach to map seagrass cover level distribution from a long term archive of Landsat TM and ETM+ images on the Eastern Banks (≈200 km2), Moreton Bay, Australia. In this work a range of trend and time-series analysis methods are demonstrated for a time-series of 23 annual maps from 1988 to 2010 and a time-series of 16 monthly maps during 2008-2010. Significant new insight was presented regarding the inter- and intra-annual dynamics of seagrass persistence over time, seagrass cover level variability, seagrass cover level trajectory, and change in area of seagrass and cover levels over time. Overall we found that there was no significant decline in total seagrass area on the Eastern Banks, but there was a significant decline in seagrass cover level condition. A case study of two smaller communities within the Eastern Banks that experienced a decline in both overall seagrass area and condition are examined in detail, highlighting possible differences in environmental and process drivers. We demonstrate how trend and time-series analysis enabled seagrass distribution to be appropriately assessed in context of its spatial and temporal history and provides the ability to not only quantify change, but also describe the type of change. We also demonstrate the potential use of time-series analysis products to investigate seagrass growth and decline as well as the processes that drive it. This study demonstrates clear benefits over traditional seagrass mapping and monitoring approaches, and provides a proof of concept for the use of trend and time-series analysis of remotely sensed seagrass products to benefit current endeavours in seagrass ecology.
Keyword Seagrass
Remote sensing
Time-series analysis
Temporal variation
Moreton Bay
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Available online: 28 January 2013.

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Geography, Planning and Environmental Management Publications
Official 2014 Collection
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Citation counts: TR Web of Science Citation Count  Cited 25 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 26 times in Scopus Article | Citations
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