- Title
- Spatial prioritization output: “all benthic regionalised” scenario
- License
- Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
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+ For more info see https://creativecommons.org/licenses/by-nc-sa/4.0/. - Abstract
Selection frequency of planning units in the “all benthic regional” scenario of the ATLAS basin-scale systematic conservation planning exercise (D3.4), aiming to identify conservation priority areas for the deep-sea biodiversity. The selection frequency reflects how often the 25km * 25km units were selected within the 30 solutions of the scenario, from 0 for units that were never selected, to 30 for systematically selected units. This work is exposed in ATLAS Deliverable 3.4: “Conservation Management Issues in ATLAS. Basin-scale systematic conservation planning: identifying suitable networks for VMEs protection”.
Produced by IFREMER.
Citation: Combes Magali, Vaz Sandrine (2019). Systematic conservation planning for the North-Atlantic deep sea.- DOI
- Author(s)
- Combes, Magali ; Vaz, Sandrine
- Publication Date
- Sept. 10, 2019, 11:29 a.m.
- Type
- Vector Data
- Keywords
- ATLAS , D3.4 , WP3 , Conservation , Systematic Conservation Planning , Basin-scale
- Category
- Oceans
- features and characteristics of salt water bodies (excluding inland waters). Examples: tides, tidal waves, coastal information, reefs
- Regions
- North Atlantic , Global
- Uploader
- MagaliCombes
- Group
- IFREMER
- Restrictions
- formal permission to do something
- Purpose
The basin-scale systematic conservation planning in ATLAS aimed to inform Marine Spatial Planning and conservation initiatives for the deep sea of the Nor...
- Language
- English
- Data Quality
- Conservation scenarios were implemented using the R package Prioritizr, on a gridded area representing the North Atlantic (18°N to 76°N and 36°E to 98°W) from 0 to 3500m depth, divided in 25km * 25km planning units. Spatial prioritisation and mapping were done on an Albers equal-area conic projection centered on the Atlantic ocean (latitude 30°N; longitude 30°W). A wide range of datasets displaying the distribution of species and habitats, human activities and current spatial management was integrated to conservation scenarios. The “all benthic regional” scenario targets the VME-indicator benthic species (cold-water corals and sponge), and habitat (VMEs, VME-supporting geomorphological structures) features, while replicating the conservation objectives in the different regions of the ocean basin, and considering an area-based cost. The conservation problem was solved 100 times and the 30 best solutions (with the lowest cost) were selected to evaluate the selection frequency of planning units.
- Supplemental Information
Auncune information fournie
- Spatial Representation Type
- vector data is used to represent geographic data
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