DOI: 10.5061/dryad.8t55d
title: Data from: A web platform for landuse, climate, demography, hydrology and beach erosion in the Black Sea catchment

description: The Black Sea catchment (BSC) is facing important demographic, climatic
 and landuse changes that may increase pollution, vulnerability and
 scarcity of water resources, as well as beach erosion through sea level
 rise. Limited access to reliable time-series monitoring data from
 environmental, statistical, and socio-economical sources is a major
 barrier to policy development and decision-making. To address these
 issues, a web-based platform was developed to enable discovery and access
 to key environmental information for the region. This platform covers:
 landuse, climate, and demographic scenarios; hydrology and related water
 vulnerability and scarcity; as well as beach erosion. Each data set has
 been obtained with state-of-the-art modelling tools from available
 monitoring data using appropriate validation methods. These analyses were
 conducted using global and regional data sets. The data sets are intended
 for national to regional assessments, for instance for prioritizing
 environmental protection projects and investments. Together they form a
 unique set of information, which lay out future plausible change scenarios
 for the BSC, both for scientific and policy purposes.
description: BeachesMaximum beach retreat (in percentage of the maximum beach width) predicted by the model ensemble for the Black Sea beaches under a 0.5 m SLR (coastal retreat estimated to 21.4 m.).ClimateThis dataset consists of estimated values for the monthly averages of maximum and minimum temperatures, as well as precipitation for the time period between 1961 and 1990, interpolated with the integrated nested Laplace approximations. It provides the estimated values for the daily observations of maximum temperature for the HB1 and HS1 scenarios between 2070 and 2100, obtained through the Delta method.DemographyUN projection variants for population (Table 3), downscaled from national to regional level (NUTS2). Results include urban and total population trends over the period 2010-2050 for the 214 Black sea regions, consistent with BS HOT, BS ALONE, BS COOP and BS COOL scenarios.Land Use change scenariosThe data consist in a set of nine raster maps representing the Land Use classification derived from MODIS in 2010 at a 500m pixel resolution, and predicted with Metronamica until 2050 according to the HOT, ALONE, COOP and COOL scenarios. Each map of LU is subdivided into 10 classes. On one hand, crops/natural vegetation, shrubland, barren or sparsely vegetated, forest, grassland, croplands and urban and built-up areas are changing along the years. On the other hand, water, snow and ice, and permanent wetlands remain fixed.Land_use_change_scenarios.zipSWAT hydrological outputsThe monthly average water flow Figure 3. River flow simulated by the Black Sea SWAT model in m3/s and nitrogen loads simulated by the Black Sea SWAT model between years 1970 to 2006 is made available over 12982 subcatchments and their corresponding river reaches.SWAT_hydrological_outputs.zipWater for agriculture vulnerabilityThis map provides an overview of the potential impact of climate change on agriculture over 12982 subcatchments. It is measured in the change of annual plant growth days. Green indicates an increase of plant growth days due to fewer days of water stress and/or fewer days of temperature stress (positive potential impact). Red indicates a decrease of plant growth days due to more days of water stress and/or temperature stress (negative potential impact). The potential impact is very heterogeneous across the Black Sea catchment. The adaptive irrigation capacity and the total agriculture vulnerability is also made available in this dataset.Water_agriculture_vulnerability.zipWater scarcityThis aim of this dataset is to represent water stress in the Black Sea catchment circa 2011. Water stress is calculated according to the Water Stress Index (WSI) corresponding to the quotient of total withdrawals by surface water availability, both in m3 yr-1. The scale of this index is as follow: &lt;0.1 = No stress; 0.1 to 0.2 = Low; 0.2 to 0.4 = Moderate; 0.4 to 0.8 = High; &gt;0.8 = Very high. Several building blocks used to assess water stress are also made available as geospatial layers in this dataset.Water_scarcity.zip