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After-fire forest cover dynamics in the Barguzinsky Nature Reserveтезисы доклада
- Авторы: Zheleznyy Oleg, Kozyreva Marina, Shilyakina Maria, Kurop Anna
- Сборник: Abstracts 4th Conference of Society for Conservation GIS in Russia "Using GIS and Remote Sensing for Nature Protection"
- Тезисы
- Год издания: 2020
- Место издания: University of Copenhagen Copenhagen
- Первая страница: 19
- Последняя страница: 24
- DOI: 10.17894/UCPH.AE5A9E75-3CDB-4FB8-B108-3E625399BFAD
- Аннотация: Wildfires have become a major issue in Siberia in recent years, bringing attention to the assessment of forest regrowth and reclamation of carbon storage after the fire. This study unifies remote sensing data and field measurements in order to distinguish different paths of after-fire forest succession. We calculated dNBR for each fire site using summer Landsat scenes before and after the fire. From the year preceding the fire to present time, early spring and mid-summer mean NDVI were estimated for areas of different fire severity from a satellite imagery workflow. Vegetation regrowth and gradual death of damaged coniferous stands followed by increase in summer and decrease in winter NDVI, were proven by field data, incl. dendrochronological records. We surveyed 3 key areas within the core of Barguzinsky nature reserve: a coastal plain (fires of 1995, 2015), forested hill-slopes (fires of 1961, 2015), slopes of Barguzin range foothills (fire of 2006). Birch and fireweed are the omnipresent pioneer species, but the following succession highly varies with wetness and microclimatic conditions. Lowland areas are characterised by the regrowth of larch, which depends on the condition of the forest floor and sources of seeds. Hill- slopes, formerly covered with cedar forest, are dominated by deciduous and pine saplings and young stands. Mountain fire site has slower rates of forest regeneration, and is clearly differentiated: NW slopes are occupied by birch saplings, while SE – by dwarf cedar, cedar and pine. The ongoing work is focused on semi-automatic classification of recovering vegetation and prospects of extrapolating the method on other sites
- Добавил в систему: Железный Олег Маратович
Прикрепленные файлы
| № | Имя | Описание | Имя файла | Размер | Добавлен |
|---|---|---|---|---|---|
| 1. | Полный текст | SCGIS_Russia_Conference_2019_Abstracts_Rus_Eng.pdf | 3,1 МБ | 6 февраля 2020 [olegzhelezn] |