Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 143729 - 143729
Published: Sept. 1, 2024
Language: Английский
Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 143729 - 143729
Published: Sept. 1, 2024
Language: Английский
Remote Sensing, Journal Year: 2025, Volume and Issue: 17(5), P. 848 - 848
Published: Feb. 27, 2025
In 2022, a record-breaking extreme compound heatwave–drought (CHD) event occurred in China’s Yangtze River Basin (YRB), which significantly reduced terrestrial ecosystem Gross Primary Production (GPP), as many previous studies have shown. However, it remains uncertain how GPP responds to CHD events of varying intensities, well the differences responses among different vegetation types YRB. This study used two independent products (GPPGOSIF and GPPFluxSat) Enhanced Vegetation Index (EVIMODIS) data investigate these uncertainties during three identified years: 2003, 2013, 2022. when intensity was strongest, YRB experienced most significant reductions, with amplitudes −0.37 gC m−2 day−1 (−3.05 standard deviation, hereafter STD) −0.57 (−5.97 for GPPGOSIF GPPFluxSat, respectively. less intense years, year 2003 had than one-third reductions while 2013 even showed an overall slight increase. Moreover, 2022 also widest extent exceeding one STD, more twice grid points 2013. revealed across types. were pronounced shrub-dominated areas, followed by evergreen forests, deciduous forests mixed relatively smaller decreases. there no These findings enhance our understanding variability intensities ecosystems, this enhancement provides important scientific basis optimizing related carbon cycle models.
Language: Английский
Citations
0Ecohydrology, Journal Year: 2025, Volume and Issue: 18(2)
Published: March 1, 2025
ABSTRACT Climate extremes have garnered considerable attention recently because of their devastating effects on both water resources and vegetation health. The responses to climate extremes, such as high temperatures (hot events), droughts (dry events) compound dry hot events (CDHEs), been extensively evaluated. However, the risk drought considering different severity levels individual is not well assessed. In this study, we employed meta‐Gaussian (MG) model, a multivariate approach, evaluate response [characterized by Standardized Normalized Difference Vegetation Index (SNDVI)] events, CDHEs. study found that dominant factor drought, in central northwestern parts Northwestern China (NWC), was events. Conversely, southern NWC, temperature exerted substantial influence drought. Relative conditional probability under CDHEs had decreased (increased) approximately 24% (17%). Furthermore, grassland sensitive, whereas forests demonstrated greater resilience droughts. These findings help us better understand various exert dynamics.
Language: Английский
Citations
0Theoretical and Applied Climatology, Journal Year: 2024, Volume and Issue: 155(7), P. 6829 - 6842
Published: June 8, 2024
Language: Английский
Citations
1Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 143729 - 143729
Published: Sept. 1, 2024
Language: Английский
Citations
1