WETLANDS ECOLOGICAL-ECONOMIC MAPPING AT COMMUNITY-TRIBAL LANDS IN THE RUSSIAN EUROPEAN ARCTIC COAST

• Published in: Proceedings of the International conference “InterCarto/InterGIS”
• Main Authors: A. V. Evseev, T. M. Krasovskaya, V. S. Tikunov, I. N. Tikunova
• Format: Article in Journal/Newspaper
• Language: English; Russian
• Published: Laboratory of Complex Mapping, Faculty of Geography, MSU 2017
• Subjects: mapping; ecosystems services; traditional nature management; Arctic coast; envir; geo; Arctic; nenets
• Online Access: https://doi.org/10.24057/2414-9179-2017-2-23-5-13; https://doaj.org/article/ad99f326452142bea2578e8530079871

An economic-ecological map for Nenets community tribal lands at the Russian Arctic coast wetlands was compiled. Wetlands supply a large variety of ecosystem services beneficial to ecological stability and biological resources for indigenous population support. Ecosystem services assessed in this project were mainly regulating: carbon deposition by different ecosystems (climate regulation function due to CO2 consumption), water purification and “warming” effect of bogs. This list was limited by data and assessment methods availability. We used traditional methods for ecological services assessment, based on their existing and possible (virtual) market prices. Mapping approaches were based on Target 2 Action 5 Mapping and Assessment of Ecosystems and their Services (MAES) of the EU Biodiversity Strategy to 2020. Proportional value regulating services of peat bogs appeared to be nearly the same as maximal existing lands value. Our assessment results enabled us to present spatial dimensions of ecosystem services of community-tribal lands, whose value appeared to be higher than compensatory sums for “lost profit” in case they are replaced by oil extraction infrastructure. Traditional nature management lands may be regarded as an alternative to further primarily industrial land use type and attribute ecological buffers role to them as well as indigenous population material and spiritual support functions.