Chinese Science Bulletin (Chinese Version), Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 1, 2024
Global and Planetary Change, Journal Year: 2025, Volume and Issue: unknown, P. 104799 - 104799
Published: March 1, 2025
Language: Английский
Citations
2
Agricultural and Forest Meteorology, Journal Year: 2024, Volume and Issue: 346, P. 109890 - 109890
Published: Jan. 9, 2024
Language: Английский
Citations
5
The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 917, P. 170532 - 170532
Published: Jan. 29, 2024
Language: Английский
Citations
5
Ecological Indicators, Journal Year: 2025, Volume and Issue: 170, P. 113069 - 113069
Published: Jan. 1, 2025
Language: Английский
Citations
0
Journal of Geographical Sciences, Journal Year: 2025, Volume and Issue: 35(2), P. 252 - 272
Published: Feb. 1, 2025
Language: Английский
Citations
0
Remote Sensing, Journal Year: 2025, Volume and Issue: 17(8), P. 1418 - 1418
Published: April 16, 2025
Forest carbon sinks are crucial in mitigating climate change as integral components of the global cycle. Accurately estimating forest using traditional remote sensing indices, such Normalized Difference Vegetation Index(NDVI), presents significant challenges, particularly complex terrains and regions with variable climates. These limitations hinder effective capture photosynthetic dynamics. To address this gap, study leverages Sun-Induced Chlorophyll Fluorescence (SIF) sensing, highlighting its superiority over indices capturing processes offering a more precise approach to climate-sensitive mountainous areas. Using SIF data from GOSIF, alongside models for light-use efficiency ecosystem respiration, estimates Qinba Mountains China during growing season (June September) 2011 2018. The results further validated analyzed terms age type. Key findings include: (1) average annual was approximately 24.51 TgC; (2) Spatially, higher values (average 36.79 gC·m⁻2·month⁻1) were concentrated western central areas, while southeastern central-northern exhibited lower 7.75 gC·m⁻2·month⁻1); (3) Temporally, minimal interannual variation observed northwest, whereas southeast showed fluctuating trends, an initial decline followed by increase; (4) significantly influenced age, type, altitude. Our demonstrate that plantation forests aged 10 30 years exhibit superior sequestration capacity compared natural forests, 70 90 also show potential. underscore influence characteristics on By examining these spatiotemporal patterns Mountains, our offers valuable insights advancing China’s ‘dual carbon’ goals, emphasizing importance strategic management change.
Language: Английский
Citations
0
Agricultural and Forest Meteorology, Journal Year: 2025, Volume and Issue: 370, P. 110603 - 110603
Published: May 8, 2025
Language: Английский
Citations
0
Land, Journal Year: 2024, Volume and Issue: 13(9), P. 1348 - 1348
Published: Aug. 24, 2024
Vegetation plays an important role in absorbing carbon dioxide and accelerating the achievement of neutrality. As ecological barrier North China, Taihang Mountains are pivotal to construction project China. Nevertheless, dynamic development vegetation sink region impact factors on have not been systematically evaluated. This study employed a comprehensive approach, utilising remote sensing technology meteorological topographic data, conjunction with net ecosystem productivity (NEP) estimation model reveal characteristics sinks Mountain, then revealed dynamics evolution NEP inter-annual trend by using Theil–Sen Median slope estimation, Mann–Kendall test, coefficient dissociation analysed driving roles influencing parameter optimal geographic detector. Our findings suggest that Mountain area has clear growth time, average value is 289 gC-m−2-a−1 from 2000 2022, spatial distribution shows high northeast low middle west, gradual increase southwest; areas fluctuation mainly distributed around some cities susceptible interference natural or anthropogenic factors. The influenced variety factors, among which explanatory power each factor as follows: DEM (0.174) > temperature (0.148) precipitation (0.026) (0.017) direction (0.003). had strongest for changes, two-by-two effects were all significantly stronger than single factor, interaction between power; distinguishing climate change contribution activities changes more 90% Mountainous Region was 60%, force change. results this can only provide reference reduction restoration projects but also benefit research paradigm sequestration other regions.
Language: Английский
Citations
2
Scientific Data, Journal Year: 2024, Volume and Issue: 11(1)
Published: Oct. 11, 2024
Leaf Area Index (LAI) is a critical parameter in terrestrial ecosystems, with high spatial resolution data being extensively utilized various research studies. However, LAI under future scenarios are typically only available at 1° or coarser resolutions. In this study, we generated dataset of 0.05° (F0.05D-LAI) from 1983–2100 using the Downscaling Network (LAIDN) model driven by inputs including air temperature, relative humidity, precipitation, and topography data. The spans historical period (1983–2014) (2015–2100, SSP-126, SSP-245, SSP-370, SSP-585) monthly interval. It achieves accuracy (R² = 0.887, RMSE 0.340) captures fine details across climate zones terrain types, indicating slightly greening trend scenarios. F0.05D-LAI first high-resolution reveals potential vegetation variation China, which benefits studies development earth environmental sciences present periods.
Language: Английский
Citations
2
The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 957, P. 177786 - 177786
Published: Nov. 29, 2024
Language: Английский
Citations
1