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Measuring fragmentation of seagrass landscapes: which indices are most appropriate for detecting change?

Sleeman, J., Kendrick, G., Boggs, Guy S. and Hegge, B. (2005). Measuring fragmentation of seagrass landscapes: which indices are most appropriate for detecting change?. Marine and Freshwater Research,56(6):851-864.

Document type: Journal Article
Citation counts: Scopus Citation Count Cited 19 times in Scopus Article | Citations

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IRMA ID 75034168xPUB16
Title Measuring fragmentation of seagrass landscapes: which indices are most appropriate for detecting change?
Author Sleeman, J.
Kendrick, G.
Boggs, Guy S.
Hegge, B.
Journal Name Marine and Freshwater Research
Publication Date 2005
Volume Number 56
Issue Number 6
ISSN 1323-1650   (check CDU catalogue open catalogue search in new window)
Scopus ID 2-s2.0-27244431785
Start Page 851
End Page 864
Total Pages 14
Place of Publication Melbourne, Australia
Publisher Commonwealth Scientific and Industrial Research Organization
Field of Research 0602 - Ecology
0405 - Oceanography
0704 - Fisheries Sciences
HERDC Category C1 - Journal Article (DEST)
Abstract Many indices are available for assessment of spatial patterns in landscape ecology, yet there is presently no consensus about which ones effectively quantify habitat fragmentation. Research that has been carried out to date has evaluated indices primarily using computer-simulated models of terrestrial environments, but how they perform when applied to real landscapes, particularly in the marine environment, has received little attention. Eleven indices that are commonly used for quantifying habitat fragmentation were assessed for their abilities to measure different levels of fragmentation in 16-ha landscape windows of mapped seagrass. The landscape windows were grouped into five categories, from highly fragmented to continuous seagrass landscapes. Nested within the fragmentation categories were high and low levels of seagrass cover. Hierarchical analysis of variance techniques were used to differentiate between the different fragmentation categories and levels of seagrass cover within the fragmentation categories. Principal component analysis was also employed to determine strong correlations between the indices. The results suggest that (1) landscape division and (2) area-weighted mean perimeter to area ratio were the most appropriate indices for differentiating between independent levels of seagrass fragmentation. The splitting index may also be useful when the detection of small differences in cover is important.
Keywords habitat fragmentation
indices
landscapes
metrics
patchiness
seagrass
blue-crab survival
habitat fragmentation
western-australia
patch size
spatial configuration
cymodocea-nodosa
infaunal bivalve
pattern metrics
scale
dynamics
DOI http://dx.doi.org/10.1071/MF04300   (check subscription with CDU E-Gateway service for CDU Staff and Students  check subscription with CDU E-Gateway in new window)
 
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