
Plants, Journal Year: 2024, Volume and Issue: 13(20), P. 2937 - 2937
Published: Oct. 20, 2024
Over the past three decades, China has implemented extensive reforestation programs, primarily utilizing Chinese fir (
Language: Английский
Plants, Journal Year: 2024, Volume and Issue: 13(20), P. 2937 - 2937
Published: Oct. 20, 2024
Over the past three decades, China has implemented extensive reforestation programs, primarily utilizing Chinese fir (
Language: Английский
The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 931, P. 172926 - 172926
Published: May 1, 2024
Language: Английский
Citations
13The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 948, P. 174903 - 174903
Published: July 20, 2024
Language: Английский
Citations
10Environmental Research Letters, Journal Year: 2025, Volume and Issue: 20(2), P. 024033 - 024033
Published: Jan. 24, 2025
Abstract Interannual variability (IAV) of terrestrial carbon uptake is a major contributor to the variation atmospheric CO 2 . With influence East Asian monsoon, future climate would significantly increase in China. However, how these changes will modulate IAV China’s sinks remains unclear. Here, we analyzed net ecosystem productivity (NEP ) and investigated potential impacts change under various scenarios during 21st century using outputs from nine Coupled Model Intercomparison Project Phase 6 models. The results reveal that NEP be enhanced higher emissions 2015 2100. standard deviation national SSP585 scenario rises by 12% compared with SSP126. most prominent contribution this enhancement total comes larger summer (10%), particularly subtropical–tropical monsoonal zone Moreover, largely attributed intensified temperature precipitation zones as well heightened sensitivity them, especially ecosystems zone. Compared precipitation, also plays an important role scenarios. Our highlight crucial fluctuations monsoon systems on sink urgency reducing uncertainties Earth system models predicting both regions responses cycling processes temperature.
Language: Английский
Citations
0Hydrological Sciences Journal, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 4, 2025
Language: Английский
Citations
0Agricultural and Forest Meteorology, Journal Year: 2025, Volume and Issue: 368, P. 110549 - 110549
Published: April 12, 2025
Language: Английский
Citations
0Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 27 - 50
Published: Jan. 1, 2025
Language: Английский
Citations
0Carbon Balance and Management, Journal Year: 2025, Volume and Issue: 20(1)
Published: May 15, 2025
Vegetation is crucial in carbon sequestration, as it stores soil and biomass. However, agricultural droughts significantly reduce vegetation growth, directly impacting the amount of sequestered through photosynthesis. This study investigates effects drought on emissions across four sub-regions China, Northwest North Qinghai-Tibet region, South from 2001 to 2020. Three remote sensing-based indices, Moisture Anomaly Index (MAI), (VAI), Temperature (TAI) were used for monitoring. Advanced statistical techniques employed explore relationship between these indices emissions, including auto-correlation spatial cross-correlation. The results indicate that temporal variations exhibit distinct regional patterns. Among VAI demonstrated strongest correlation with values ranging r = 0.56 0.76. Carbon varied regions, highest recorded followed by regions. Spatial cross-correlation analysis revealed positive (r > 0.5) was observed whereas a moderate found MAI China. ranged -0.6 0.8. TAI exhibited negative correlations China northeast These findings provide valuable insights mitigating drought-induced promoting sustainable land management practices.
Language: Английский
Citations
0Water Resources Research, Journal Year: 2025, Volume and Issue: 61(5)
Published: May 1, 2025
Abstract As the planet warms, frequency and severity of weather‐related hazards such as floods are intensifying, posing substantial threats to communities around globe. Rising flood peaks volumes claim lives, damage infrastructure, compromise access essential services. However, physical mechanisms behind global evolution still uncertain, their implications for socioeconomic systems remain unclear. In this study, we leverage a supervised machine learning technique identify dominant factors influencing daily streamflow. We then develop physics‐constrained cascade model chain which assimilates water heat transport processes project bivariate risk peak volume, along with its consequences. To achieve this, hybrid deep‐learning‐hydrological bias‐corrected outputs from 20 climate models CMIP6 under four shared pathways. Our results considerable increases in medium high‐end emission scenario (SSP3‐7.0) over most catchments The median future joint return period decreases 50 years 27.6 years, 186 trillion USD 4 billion people exposed. Downwelling shortwave radiation is identified factor driving changes streamflow, accelerating both terrestrial evapotranspiration snowmelt. scenarios enhanced warming an increase precipitation extremes, heightened widespread flooding foreseen. This study aims provide valuable insights policymakers developing proactive strategies mitigate risks associated river change.
Language: Английский
Citations
0Environmental Research Letters, Journal Year: 2024, Volume and Issue: 19(8), P. 084013 - 084013
Published: July 4, 2024
Abstract The Northern Hemisphere mid-latitudes, with large human populations and terrestrial carbon sinks, have a high demand for dependence on water resources. Despite the growing interest in vegetation responses to drought under climate change this region, our understanding of changes relationship between growth availability (referred as Rvw) remains limited. Here, we aim explore Rvw its drivers mid-latitudes 1982 2015. We used satellite-derived normalized difference index (NDVI) fine-resolution Palmer severity (PDSI) proxies availability, respectively. trend analysis results showed that NDVI PDSI were asynchronous over past three decades. Moreover, analyzed spatiotemporal patterns correlation coefficient PDSI. indicated was getting closer more areas period, but there differences across ecosystems. Specifically, most croplands grasslands primarily constrained by deficit, which stronger; however, forests surplus, weaker. Furthermore, random forest regression models dominant driver NDVI-PDSI atmospheric dioxide (CO 2 ) than 45% grid cells. In addition, partial demonstrated elevated CO concentrations not only boosted through fertilizer effect also indirectly enhanced improving use efficiency. Overall, study highlights important role mediating change, implying potential link greening risk.
Language: Английский
Citations
2Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: April 5, 2024
Language: Английский
Citations
0