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Temporal and spatial variability in the cover of deep reef species: implications for monitoring


Perkins, NR and Foster, SD and Hill, NA and Marzloff, MP and Barrett, NS, Temporal and spatial variability in the cover of deep reef species: implications for monitoring, Ecological Indicators, 77 pp. 337-347. ISSN 1470-160X (2017) [Refereed Article]

Copyright Statement

2017 Elsevier

DOI: doi:10.1016/j.ecolind.2017.02.030


Imagery collected from Autonomous Underwater Vehicles (AUVs) provides a novel means of monitoring changes in benthic ecosystems over large spatial scales and depth ranges. However, for many benthic ecosystems there is little baseline data to quantify temporal and spatial variance for key indicator species. This information is crucial for isolating background "noise" from long-term "signals". Here we quantify components of variance for five key deep-water sessile invertebrate species across four long-term benthic monitoring sites in a region undergoing strong climate-driven changes. We use linear mixed models to estimate the contribution of sources of spatial and temporal variance in species covers from empirical data. We then combine this information with projected long-term climate-driven changes in the cover of these groups and test the power of various survey designs to detect change through time. Large short-term temporal and spatial variability in the cover of a gorgonian octocoral results in high components of variance that limit the detectability of the projected long-term trend for this species. Conversely, for three of the sponge species high power is achievable with revisits to the four original sites every two years until 2060. By including more sites in the revisit design, high power can be achieved with less frequent revisits. For the fifth species, we find high power is unachievable due to the small trend predicted. Overall, we highlight how examination of components of variance in a system can aid in the selection of suitable indicators and the establishment of effective monitoring programs.

Item Details

Item Type:Refereed Article
Keywords:Indicators, monitoring, autonomous underwater vehicle, imagery, AUV, benthic monitoring, ecological monitoring, imagery, survey design, sampling design
Research Division:Biological Sciences
Research Group:Ecology
Research Field:Marine and estuarine ecology (incl. marine ichthyology)
Objective Division:Environmental Management
Objective Group:Marine systems and management
Objective Field:Marine biodiversity
UTAS Author:Perkins, NR (Dr Nicholas Perkins)
UTAS Author:Hill, NA (Dr Nicole Hill)
UTAS Author:Marzloff, MP (Dr Martin Marzloff)
UTAS Author:Barrett, NS (Associate Professor Neville Barrett)
ID Code:115151
Year Published:2017
Web of Science® Times Cited:7
Deposited By:Ecology and Biodiversity
Deposited On:2017-03-08
Last Modified:2018-04-20

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