Assessing the ecological vulnerability of protected areas by using Big Earth Data

Abstract

The ecological vulnerability of global protected areas (PAs) is linked to the 2030 United Nations Sustainable Development Goals. We developed a novel degree of ecological vulnerability (DEV) index based on Big Earth Data to assess the ecological vulnerability of PAs. This is a transparent, repeatable, large-scale and rapid assessment method. We applied the method to case studies of International Union for Conservation of Nature (IUCN) PAs in the basins of the Aral Sea, the Caspian Sea, the Black Sea and the Lake Baikal. Between 2001 and 2015, the spatial pattern of ecological vulnerability in the study area was relatively stable. The Caspian Sea basin and protected landscape/seascape (category V) showed high ecological vulnerability, while the Black Sea basin and wilderness areas (category Ib) showed low ecological vulnerability. Big Earth Data shows great vitality in PAs ecological vulnerability assessment. Strengthening international cooperation is an important means to break the bottleneck of ecological environment and resource endowment in these important international basins.

Keywords

• protected areas
• ecological vulnerability
• assessment
• remote sensing
• sustainable development goals