ŠVIK, Marian, Filip OULEHLE, Pavel KRÁM, Růžena JANOUTOVÁ, Kateřina TAJOVSKÁ a Lucie HOMOLOVÁ. Landsat-Based Indices Reveal Consistent Recovery of Forested Stream Catchments from Acid Deposition. Remote Sensing. Basel, Switzerland: MDPI, 2020, roč. 12, č. 12, s. 1-19. ISSN 2072-4292. Dostupné z: https://dx.doi.org/10.3390/rs12121944.
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Základní údaje
Originální název Landsat-Based Indices Reveal Consistent Recovery of Forested Stream Catchments from Acid Deposition
Autoři ŠVIK, Marian (203 Česká republika, garant, domácí), Filip OULEHLE (203 Česká republika), Pavel KRÁM (203 Česká republika), Růžena JANOUTOVÁ (203 Česká republika), Kateřina TAJOVSKÁ (203 Česká republika, domácí) a Lucie HOMOLOVÁ (203 Česká republika).
Vydání Remote Sensing, Basel, Switzerland, MDPI, 2020, 2072-4292.
Další údaje
Originální jazyk angličtina
Typ výsledku Článek v odborném periodiku
Obor 20705 Remote sensing
Stát vydavatele Švýcarsko
Utajení není předmětem státního či obchodního tajemství
WWW URL
Impakt faktor Impact factor: 4.848
Kód RIV RIV/00216224:14310/20:00115819
Organizační jednotka Přírodovědecká fakulta
Doi http://dx.doi.org/10.3390/rs12121944
UT WoS 000550371300001
Klíčová slova anglicky biogeochemistry; disturbance index; forest disturbance; GEOMON; Landsat; time series
Štítky rivok
Příznaky Mezinárodní význam, Recenzováno
Změnil Změnila: Mgr. Marie Šípková, DiS., učo 437722. Změněno: 21. 10. 2020 17:13.
Anotace
Central European forests suffered from severe, large-scale atmospheric depositions of sulfur and nitrogen due to coal-based energy production during the 20th century. High deposition of acid compounds distorted soil chemistry and had negative effects on forest physiology and growth. Since 1994, continuous data on atmospheric deposition and stream runoff fluxes have provided evidence of ecosystem recovery from acidification. In this study, we combined for the first time mass budget data (sulfur deposition and total dissolved inorganic nitrogen (DIN) export) from the GEOMON monitoring network of headwater catchments with annual trajectories of vegetation indices derived from Landsat remote sensing observations. Time series of selected vegetation indices was constructed from Landsat 5, 7, and 8 using Google Earth Engine. Linear regression between the field data and vegetation indices was analyzed using R software. Biogeochemical responses of the forested catchment to declining acid deposition (driven by SO2 emission reduction) were consistent across all catchments covering various forest stands from different regions of the Czech Republic. Significant correlations were found with total sulfur depositions, suggesting that the forests are continuously and consistently prospering from reductions in acid deposition. Disturbance index (DI) was the only vegetation index that was well-related to changes in forest cover associated with salvage loggings (due to the forest decline) during the 1980s and 1990s. A significant relationship (R2 = 0.82) was found between the change in DI and DIN export in stream water. Regrowth of young forests in these highly affected areas tracks the most pronounced changes in total DIN export, suggesting a prominent role of vegetation in nitrogen retention.
Návaznosti
MUNI/A/1356/2019, interní kód MUNázev: Výzkum proměn geografických procesů a vztahů v prostoru a čase (Akronym: Progeo)
Investor: Masarykova univerzita, Výzkum proměn geografických procesů a vztahů v prostoru a čase, DO R. 2020_Kategorie A - Specifický výzkum - Studentské výzkumné projekty
VytisknoutZobrazeno: 25. 4. 2024 03:24