- Title
- Modeled distribution map of Kophobelemnon stelliferum assemblage in the North East Atlantic in 2021
- License
- Attribution 4.0 International (CC BY 4.0)
-
+ This is a human-readable summary of (and not a substitute for) the license. Disclaimer.
+ You are free to:
+ Share — copy and redistribute the material in any medium or format
+ Adapt — remix, transform, and build upon the material
+ for any purpose, even commercially.
+ This license is acceptable for Free Cultural Works.
+ The licensor cannot revoke these freedoms as long as you follow the license terms.
+ Under the following terms:
+ Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
+
+ No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
+ Notices:
+ You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.
+ No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
+ For more info see https://creativecommons.org/licenses/by/4.0/. - Abstract
Modelled density of the seapen Kophobelemnon stelliferum in the North East Atlantic. The Random Forest density model trained on data collected by an ROV was constrained by an ensemble of Maxent and Random Forest presence-absence model trained on a larger dataset also collected by an ROV. This species provides structural complexity in an environment where it is lacking and, thus, promote higher biodiversity where they settle. They are vulnerable to mechanical disturbance of the sediment by fishing gear and a better understanding of their distribution will lead to better management of their population. This work was performed at the University of Plymouth in 2021.
- Publication Date
- July 28, 2023, 12:45 p.m.
- Type
- Raster Data
- Keywords
- Category
- Biota
- Flora and/or fauna in natural environment. Examples: wildlife, vegetation, biological sciences, ecology, wilderness, sealife, wetlands, habitat.
- Regions
- Global
- Responsible
- NPiechaud-355
- Language
- English
- Temporal Extent
- Jan. 1, 2021, midnight - Jan. 1, 2021, midnight
- Data Quality
Biological data from Rix et al. (in prep): Mapping the density of Kophobelemnon stelliferum aggregations forming Vulnerable Marine Ecosystems in Irish and UK waters. Environmental data from Ross et al. 2015. The influence of data resolution on predicted distribution and estimates of extent of current protection of three ‘listed’ deep-sea habitats. PloS one, 10(10), p.e0140061.
- Supplemental Information
- Spatial Representation Type
- grid data is used to represent geographic data
Comments (0 total)
Log in to add a comment