Methods and technologies for spatial analysis of regional ecosystems based on the watershed approach

Описание

Тип публикации: статья из журнала

Год издания: 2023

Идентификатор DOI: 10.1002/ieam.4652

Аннотация: <jats:title>Abstract</jats:title><jats:p>The watershed management approach is an efficient tool for organizing and implementing natural resource management at the regional and interregional levels. Statistical processing of watershed information contributes to a comprehensive assessment of the environment of the river watersheds atПоказать полностьюdifferent hierarchical levels. The purpose of this work is to use spatial analysis and data simulation for assessing the state of ecosystems in hydrologically defined geographical areas such as watersheds. The minimal watersheds of the “pilot” territory of four watersheds in Eastern Siberia with an average area of approximately 1ha are used as elementary territorial units. For each watershed, spatial analysis tools form a set of attributes of unique natural characteristics, which are obtained using ground and satellite data. Such a set of attributes can be used to assess the state of the territory employing various methods of mathematical modeling and statistical and cluster analysis. Watershed modeling of the territory was carried out based on the MERIT Hydro digital elevation model. Based on Terra MODIS satellite information, data on temperature, vegetation indices, and vegetation cover were obtained for each watershed. The NASA Global Precipitation Measurement reanalysis data were used to generate the data on accumulated precipitation for all elementary watersheds. Analysis of the seasonal dynamics of the surface temperature in the study area was made, and statistical distributions of temperature variations during the year were obtained for each watershed. Effective temperature sum was calculated. Statistical values and average annual characteristics of trends in several vegetation indices were obtained for each watershed. The necessary methods and technologies for generating, storing, and processing data on each watershed have been developed. <jats:italic>Integr Environ Assess Manag</jats:italic> 2023;19:972–979. © 2021 SETAC</jats:p>

Ссылки на полный текст

Издание

Журнал: Integrated Environmental Assessment and Management

Выпуск журнала: Т. 19, 4

Номера страниц: 972-979

ISSN журнала: 15513777

Персоны

  • Erunova Marina G. (Federal Research Center “Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences” Krasnoyarsk Russia)
  • Yakubailik Oleg E. (Institute of Computational Modeling Siberian Branch of the Russian Academy of Sciences Krasnoyarsk Russia)

Вхождение в базы данных