FFD58436-7F1E-4E6C-94F0-7D39E041E04F
dataset
Elina Virtanen
Finnish Environment Insitute SYKE
syke.velmu@ymparisto.fi
2020-01-15T12:07:31
INSPIRE Metadata Implementing Rules: Technical Guidelines based on EN ISO 19115 and EN ISO 19119
V. 1.2
2
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0.002899
true
false
9.419372 53.911947
9.419372 65.882767
29.919654 65.882767
29.919654 53.911947
19.669513 59.897357
center
EPSG:4326
EPSG
6.14(3.0.1)
Zostera marina distribution model - Finland
FI300004
2018-11-08
https://doi.org/10.3389/fmars.2018.00402
FFD58436-7F1E-4E6C-94F0-7D39E041E04F
Virtanen, E. A., M. Viitasalo, J. Lappalainen and A. Moilanen (2018). "Evaluation, Gap Analysis, and Potential Expansion of the Finnish Marine Protected Area Network." Frontiers in Marine Science 5(402). https://doi.org/10.3389/fmars.2018.00402
Model describes the potential distribution range of Zostera marina in the Finnish coast. Model was produced using extensive data (~140,000 samples) on the Finnish Inventory Programme for Underwater Marine Environment (VELMU). Model was built using Boosted regression trees (BRT), and resulting models describe the probability of detecting a habitat-forming species in a cell. Environmental predictors include for instance (and are not only restricted to): bathymetry, euphotic depth, salinity, substrate, and wave exposure. As more accurate information is gained by diving than from video methods, dive data was used as the primary source for modelling with 75ÔÇô90% for model training and 10ÔÇô25% for validation. The secondary source, video data, was used only for species clearly identifiable from videos with additional subsets (25%) from targeted inventories. Dive and video data are limited to rather shallow depths (typically 20ÔÇô30 m), leading to a situation where there are not enough samples from deep areas (below 50 m). To avoid artefacts in the models, a randomized absence dataset for areas deeper than 50 m was used during the modelling process. These points were used only as absences in macrophytes models, based on the knowledge that macrophytes do not live at such depths in the Baltic Sea due to habitat constraints and lack of light.
Research
Virtanen, E. A., M. Viitasalo, J. Lappalainen and A. Moilanen (2018). "Evaluation, Gap Analysis, and Potential Expansion of the Finnish Marine Protected Area Network." Frontiers in Marine Science 5(402). https://doi.org/10.3389/fmars.2018.00402
Elina Virtanen
Finnish Environment Insitute SYKE
syke.velmu@ymparisto.fi
Marine habitat mapping
Habitats and biotopes
GEMET - INSPIRE themes, version 1.0
2008-06-01
geonetwork.thesaurus.external.theme.httpinspireeceuropaeutheme-theme
Downloadable Data
Viewable, not downloadable
The data set is viewable, not downloadable
20
environment
Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.5.1.7333
true
19.510217
27.95631
59.648069
65.841211
true
19.510217
27.95631
59.648069
65.841211
Band_1
9999
0
Unified Code of Units of Measure
16
Raster Dataset
ArcMap 10.5.1
https://www.emodnet-seabedhabitats.eu/access-data/launch-map-viewer/?LAYERS=EUSM2016&Y=39&X=-8.525390623910205&activeFilters=&zoom=6¢er=23.000,62.500&layerIds=972&baseLayerId=-3&activeFilters=
WWW:LINK-1.0-http--link
EMODnet Seabed Habitats interactive map
Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
2019-04-11
true
See original article for model description.
file://\\SYKEMEC483\E$\EMODnetSeabedHabitats\Model_preparation\Finland\Extracted\FI300004_metadata
Local Area Network