Methodology of functional-ecological monitoring of objects and landscaping of Moscow

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Abstract

The role of urban areas in the global land-use structure is permanently growing. Urban ecosystems differ principally from natural ones in formation conditions, driving factors and functioning. Green areas play a key role in city structure, performing important environmental, ornamental and health functions. The methodology widely accepted so far for the environmental control of urban green zones is not able to consider multiple functions of urban areas as well as their unique spatial variability. Herewith we propose a new approach for functional-environmental monitoring of urban green zones in Moscow city, including not only static, but also dynamic parameters and considering their spatial variability and profile distribution. The proposed approach was tested for the case of six green areas within the Sadovoe Ring, Central administrative district of the Moscow city. It was demonstrated that the proposed methodology was much more informative than conventional ones and also better support taking optimal decisions in the sphere of maintaining environmental quality of urban ecosystems.

About the authors

V I Vasenev

Russian People’s Friendship University

Author for correspondence.
Email: vasenyov@mail.ru
Department of landscape architecture and design

M M Fatiev

Russian People’s Friendship University

Email: vasenyov@mail.ru
Department of landscape architecture and design

P S Lakeev

Laboratory of agroecological monitoring, modeling and prediction of ecosystems

Email: burn_vessor@mail.ru

I M Mazirov

Laboratory of agroecological monitoring, modeling and prediction of ecosystems

Email: imazirov@gmail.com

A E Trubina

Laboratory of agroecological monitoring, modeling and prediction of ecosystems

Email: Vermachtnis-der-sonne@yandex.ru

I I Vasenev

Laboratory of agroecological monitoring, modeling and prediction of ecosystems

Email: ivvasenev@gmail.com

- Valentini Ricardo

Laboratory of agroecological monitoring, modeling and prediction of ecosystems

Email: rik@unitus.it
Tuscia University 47, Via del Paradise, Viterbo, Italy, 73100

References


Copyright (c) 2013 Васенев В.И., Фатиев М.о., Лакеев П.С., Мазиров И.М., Трубина А.Е., Васенев И.И., Валентини Риккардо -.

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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