Taranto, Gerald Hechter; González-Irusta, José-Manuel; Domínguez-Carrió, Carlos; Pham, Christopher Kim; Tempera, Fernando; Carreiro-Silva, Marina; Morato, Telmo (2020): Habitat suitability and ecoscape predictions for vulnerable and foundation cold-water coral of the Azores (NE Atlantic) [dataset]. University of the Azores, PANGAEA, https://doi.org/10.1594/PANGAEA.921282
Always quote citation above when using data! You can download the citation in several formats below.
Alert Replaced by:
Taranto, Gerald Hechter; González-Irusta, José-Manuel; Domínguez-Carrió, Carlos; Pham, Christopher Kim; Tempera, Fernando; Ramos, Manuela; Gonçalves, Guilherme; Carreiro-Silva, Marina; Morato, Telmo (2023): Habitat suitability maps for vulnerable and foundation cold-water coral taxa of the Azores (NE Atlantic). PANGAEA, https://doi.org/10.1594/PANGAEA.955223
Abstract:
We developed habitat suitability models for 14 vulnerable and foundation CWC taxa of the Azores employing an original combination of traditional and novel modelling techniques. We introduced the term ecoscape to identify a sensu stricto environmental filter that delimits the potential distribution of coexisting species.
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The published data include:
1. GAM and Maxent habitat suitability predictions classified as high (3), medium (2) or low (1) confidence. Confidence in habitat suitability prediction was estimated with a bootstrap process and depended on the frequency individual raster cells were classified as suitable based on sensitivity‐specificity sum maximization thresholds. Based on this process habitat suitability predictions were categorized as low [1-50%), medium [50-90%) or high [90-100%] confidence.
2. Combined Suitability Maps. GAM and Maxent predictions were combined and each raster cell predicted as suitable was classified based on local fuzzy matching and bootstrap frequencies as follow:
value of 1.0 in .tif files: high confidence suitable cells, raster cells predicted as suitable with high confidence by GAM or Maxent, or both and with a local fuzzy similarity greater than 0.5;
value of 0.5 in .tif files: medium confidence suitable cells, raster cells predicted as suitable with medium confidence by both GAM and Maxent OR raster cells predicted as suitable with high confidence by GAM or Maxent and with a local fuzzy similarity not equal to zero;
value of 0.0 in .tif files: low confidence suitable cell, any other cell predicted as suitable by GAM or Maxent, or both.
3. Overlapping habitat suitability predictions. The .tif file shows the number of taxa predicted as suitable for each raster cell.
4. Regional ecoscapes. Ecoscapes were classified as shallow areas (1), upper slopes (2) and lower slopes (3).
5. Environmetal clusters used to define regional ecoscapes. Clusters were derived using the X-means algorithm.
Keyword(s):
Coverage:
Median Latitude: 38.210800 * Median Longitude: -28.152050 * South-bound Latitude: 33.280200 * West-bound Longitude: -36.030800 * North-bound Latitude: 43.141400 * East-bound Longitude: -20.273300
Minimum Elevation: -2000.0 m * Maximum Elevation: 0.0 m
Event(s):
Comment:
CRS arguments:
+proj=utm +zone=26 +datum=WGS84 +units=m +no_defs +ellps=WGS84 +towgs84=0,0,0
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Extent
xmin : -238898.4
xmax : 1047875
ymin : 3710913
ymax : 4776513
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Species | Species | Taranto, Gerald Hechter | |||
| 2 | Image | IMAGE | Taranto, Gerald Hechter | |||
| 3 | Image (Media Type) | IMAGE (Type) | Taranto, Gerald Hechter | |||
| 4 | Image (File Size) | IMAGE (Size) | Bytes | Taranto, Gerald Hechter |
Change history:
2023-02-02T17:07:49 – A new version of the data has been uploaded, and can be found here: doi:10.1594/PANGAEA.955223
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
89 data points