Remotely Sensed Land Surface Temperature Can Be Used to Estimate Ecosystem Respiration in Intact and Disturbed Northern Peatlands
| Autor: | Martin Maddison, Gert Veber, Ülo Mander, Oleksandr Karasov, Iuliia Burdun, Ain Kull, Valentina Sagris |
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| Přispěvatelé: | Department of Geosciences and Geography |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Atmospheric Science
Peat BOREAL Land surface temperature LEVEL Soil Science Wetland Aquatic Science wetlands CO2 EXCHANGE chemistry.chemical_compound BOG MANAGED PEATLANDS 1172 Environmental sciences Water Science and Technology Hydrology LST geography geography.geographical_feature_category Ecology Paleontology carbon dioxide Forestry FOREST CARBON BALANCE CO2 fluxes chemistry MODIS Carbon dioxide GREENHOUSE-GAS BALANCES Environmental science Ecosystem respiration Landsat SOIL RESPIRATION |
| Popis: | https://doi.org/10.1029/2021JG006411 Remotely sensed land surface temperature (LST) enables global modeling and monitoring of CO2 fluxes from peatlands. We aimed to provide the first overview of the potential for using LST to monitor ecosystem respiration (R-eco) in disturbed (drained and extracted) peatlands. We used chamber-measured data (2017-2020) from five disturbed and two intact northern peatlands and LST data from Landsat 7, 8, and MODIS missions. First, we studied the strength of the relationships between fluxes and their in situ drivers (i.e., thermal and moisture conditions). Second, we examined the association between LST and in situ temperatures. Third, we compared chamber-measured R-eco with the modeled R-eco driven by in situ measured water table depth and (a) in situ measured surface temperature and (b) remotely sensed MODIS LST data. In situ temperatures were a stronger driver of CO2 fluxes in disturbed sites (repeated measures correlation rmR = 0.8-0.9) than in intact ones (rmR = 0.5-0.8). LST had a higher association with in situ measured temperatures in disturbed sites (mean rmR = 0.79 for MODIS) and weaker in the intact (hummocks and hollows) peatlands (mean rmR = 0.38 for Landsat and 0.48 for MODIS). R-eco models driven by MODIS LST and in situ surface temperature yielded similar accuracy: R-2 was 0.27, 0.66, and 0.67 and 0.29, 0.70, and 0.66 for intact and for drained and extracted sites, respectively. Overall, these findings suggest the applicability of LST as a proxy of the thermal regime in R-eco models, particularly for disturbed peatlands. |
| Databáze: | OpenAIRE |
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