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Hydrometeorological Factors Affecting the Carbon Exchange of the Himalayan Pine-dominated Ecosystem.
- Source :
- Ecological Informatics; Mar2024, Vol. 79, pN.PAG-N.PAG, 1p
- Publication Year :
- 2024
-
Abstract
- The net carbon uptake of the natural and dense Himalayan ecosystems is not well explored at a sub-daily scale due to limited data availability. Here, we present the first-ever analysis of the hydrometeorological controls of the sub-daily scale Net Ecosystem Exchange (NEE) in a Western Himalayan pine-dominated ecosystem ( Pinus roxburghii ). We used observed half-hourly flux tower data for 104 weeks from December 2014 to November 2016. We found that the sub-daily (6 h) scale variability of NEE contributes 20–40% to its within-week variability. We generated transfer entropy (TE)-based weekly process networks with a maximum memory of 6 h to understand sub-daily scale processes. Using weekly networks, we present consistent causal links on a seasonal scale. The hydrometeorological variables affecting the NEE and Ecosystem Respiration (RE) at a sub-daily scale are Net Solar Radiation (NSR), Relative Humidity (RH), Surface Air Temperature (TA), and Sensible Heat Flux (SH). These variables are consistently active in the networks with seasonally varying magnitudes of TE. We also found that for both monsoon and post-monsoon, NEE receives more incoming links from meteorological variables during dry weeks than wet weeks. Precipitation (P) did not send a direct causal link to NEE or RE within a sub-daily scale but strongly influenced the causal associations between hydrometeorological and carbon exchange variables. The network does not show any immediate (within 6 h) impact of P on NEE, which probably implies a delayed response of vegetation to P through soil moisture. At higher memory, P may act as an influential background variable. • Hydrometeorological controls on NEE of the Himalayan Pine ecosystem are identified. • Transfer entropy-based causal network approach is adopted. • Sub-daily to intra-weekly variation ratio of NEE is noted to be 20–40%. • Precipitation doesn't send a direct causal link to NEE within a 6-h time scale. • NEE receives more casual links from meteorological variables in dry weeks. [ABSTRACT FROM AUTHOR]
- Subjects :
- SOLAR radiation
ECOSYSTEMS
HEAT flux
HUMIDITY
ATMOSPHERIC temperature
PINE
Subjects
Details
- Language :
- English
- ISSN :
- 15749541
- Volume :
- 79
- Database :
- Supplemental Index
- Journal :
- Ecological Informatics
- Publication Type :
- Academic Journal
- Accession number :
- 174815453
- Full Text :
- https://doi.org/10.1016/j.ecoinf.2023.102446