Poster Open Access

Hierarchical seascape mapping of the Azores EEZ

Taranto, Gerald; Morato, Telmo

Poster presentation at ATLAS 3rd General Assembly.

 

An objective statistical approach has been used to hierarchically partition the benthic area within the Azores EEZ into environmental units of similar characteristics. High-dimensional climatology and geomorphology data were projected and clustered onto a two-dimensional space following a three-step method: 1) principal component analysis (PCA), 2) K-means clustering and 3) optimal cluster determination. A preliminary multiple-scale analysis was also considered to better detect regional processes and structures.

 

On the one hand, this classification can help defining sampling strategies accounting for environmental representativity and uniqueness at different scales and assessing the value of environmental proxies for predicting biological turnover. On the other hand, it can help structuring marine spatial planning and conservation strategies in areas where biological data is scarce.

 

 

 

Files (2.2 MB)
Name Size
Gerald Taranto Hierarchical seascape mapping of the Azores EEZ.pdf
md5:a52b28ddc5e74223c0c1dfb6d4942f94
2.2 MB Download
56
20
views
downloads
All versions This version
Views 5656
Downloads 2020
Data volume 43.4 MB43.4 MB
Unique views 5353
Unique downloads 2020

Share

Cite as