- Title
- Habitat Quality (A1 scenario)
- License
- Creative Commons Attribution Non Commercial No Derivatives 4.0 International (CC BY-NC-ND 4.0)
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+ For more info see https://creativecommons.org/licenses/by-nc-nd/4.0/. - Abstract
Habitat Quality was assessed to A1 scenario (habitat_quality_A1) land use using the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model. Habitat Quality evaluates the capacity of a habitat to supply biodiversity. The results range from 0 (non-suitable habitat) to 1 (maximum suitability). We estimated the impacts on Habitat Quality of various threats, namely motorways, primary roads, secondary roads, tertiary roads, residential, railways, agriculture areas and buildings...
- Publication Date
- Oct. 6, 2021, 8:30 p.m.
- Type
- Raster Data
- Keywords
- Drivers of Change , Scenario
- Category
- Drivers of Change
- Drivers of Change
- Regions
- Lithuania
- Owner
- Geoadmin
- Maintenance Frequency
- There Are No Plans To Update The Data
- Restrictions
- All restrictions and limitations are applied based on Creative Commons (CC BY 4.0) licencing policy.
- Language
- English
- Data Quality
- Motorways https://www.registrucentras.lt/ Primary roads https://www.registrucentras.lt/ Secondary roads https://www.registrucentras.lt/ Tertiary roads https://www.registrucentras.lt/ Residential https://www.registrucentras.lt/ Railways https://www.registrucentras.lt/ Agriculture areas (EEA. 2018) Buildings https://www.registrucentras.lt/ Artificial areas (EEA. 2018) Imperviousness soils (EEA. 2018) References: EEA, 2018. Corine Land Cover [WWW Document]. URL https://land.copernicus.eu/pan-european/corine-land-cover/clc2018 Gomes, E., Inácio, M., Bogdzevič, K., Kalinauskas, M., Karnauskaitė, D., Pereira, P., 2021. Future scenarios impact on land use change and habitat quality in Lithuania. Environ. Res. 197, 111101. https://doi.org/https://doi.org/10.1016/j.envres.2021.111101
- Supplemental Information
No information provided
- Spatial Representation Type
- grid data is used to represent geographic data
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