In preparation for the local citizens' workshops and the MARISCO workshops with local actors, GIS experts carried out spatial analyses of the Biosphere Reserves Desnianskyi, Roztochya and Shatskyi as well as their surroundings. For this purpose, innovative maps were produced that take the ecosystem-based approach into account and incorporated first information on climate change impacts. The spatial analyses thus enable statements to be made on the distribution and condition of relevant ecosystems and their services. Through citizen participation and stakeholder workshops, existing knowledge of the participants and their wishes and ideas are incorporated into the situation and target maps. They help to prioritise areas of conservation value and to localise EbA measures.
Based on current satellite imagery a land cover classification was developed, which depicts the ecosystem complexes of the region. In addition, information on topography, soil and drainage was added manually (only inside the borders + 5 km buffer of the Biosphere Reserve areas).
The ecosystem maps represent relatively small and homogeneous ecosystems of a local geographical scale – ecotopes. An ecotope can be viewed as a combination of the two sets of ecological components: (1) a physiotope encompassing abiotic characteristics such as local landform, climate, hydrologic regime, and soil; (2) a biotope as a plant community with microorganisms and animals (biocenosis) within defined geographic boundaries.
The Hydrography maps focus on the representation of the hydrological regime including watersheds, surface waters and wetlands.
The Threats maps provide an overview of tree biomass loss and ecosystem fragmentation in the regions.
Ecosystem-based Adaptation measures have the potential and goal to proactively reduce climate-change induced risks by decreasing the vulnerability and enhancing the (self-)regulatory capacity of the ecosystems. To obtain an overview of the spatial distribution of stress impacts in the ecosystems of the biosphere reserve regions, an assessment of stress indicators was carried out. The results of the individual stress indicator assessments are shown in the stress indicator map, the combined result in the vulnerability map.
Surface Temperature Maps
An expert from Potsdam Climate Impact Research Institute – Dr. Steffen Kriewald – elaborated novel maps and analyses on surface temperatures (long-term average).
Land Surface Temperature (LST) is an essential variable to observe short time and longtime changes of climate on a regional scale. Additionally, it allows studying the individual reaction of different land cover types to these changes in climate, as a result of a changed surface energy budget.
The LST can be obtained by remote sensing data, analysing the infrared and near-infrared bands. The following analysis is based on two different data sets: For a long time period (2002-2018) from MODIS with a coarse spatial resolution of 1000m and a short time period (2013-2018) Landsat8 2013-2018 with a high spatial resolution of 30m. MODIS data is available on a daily basis, whereas Landsat8 data is only available on a fortnightly basis, which drastically limits the number of images.
Averaged LST and the corresponding standard deviation is available for seasons and different temperature ranges. To avoid short time influence of weather, additionally, normalization with the spatial mean was done. Values below 1 indicate areas which are cooler than the spatial mean and values above 1, areas which are hotter than the average.
To view the interactive map, click here.
To go to the webpage to download the surface temperature maps, click here.