European Journal of Agronomy, Journal Year: 2024, Volume and Issue: 161, P. 127370 - 127370
Published: Sept. 25, 2024
Language: Английский
European Journal of Agronomy, Journal Year: 2024, Volume and Issue: 161, P. 127370 - 127370
Published: Sept. 25, 2024
Language: Английский
Agricultural and Forest Meteorology, Journal Year: 2023, Volume and Issue: 342, P. 109734 - 109734
Published: Sept. 27, 2023
Language: Английский
Citations
66The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 907, P. 167809 - 167809
Published: Oct. 18, 2023
Language: Английский
Citations
23Frontiers in Microbiology, Journal Year: 2023, Volume and Issue: 14
Published: June 2, 2023
Qinghai-Tibet Plateau is considered a region vulnerable to the effects of climate change. Studying change on structure and function soil microbial communities will provide insight into carbon cycle under However, date, changes in successional dynamics stability combined (warming or cooling) remain unknown, which limits our ability predict consequences future In this study,
Language: Английский
Citations
19The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 914, P. 170061 - 170061
Published: Jan. 11, 2024
Language: Английский
Citations
9Earth s Future, Journal Year: 2025, Volume and Issue: 13(3)
Published: March 1, 2025
Abstract Spring vegetation phenology (green‐up onset date, GUD) exhibits notable sensitivity to climate change, serving as a critical indicator of ecosystem dynamics. However, long‐term changes and drivers GUD remain unclear. Here we showed that satellite‐derived averaged over China forests grasslands advanced by −1.3 ± 0.4 (mean SD) days decade −1 during 1982–2022, but with contrasting trends between (−5.0 0.6 ) (2.8 ), despite similarly increasing temperature precipitation. Such were caused different responses higher preseason mean more total Moreover, sensitivities precipitation patterns respect spatial gradient background conditions grasslands. Our study elucidates mechanisms behind responding which could help optimize land‐management strategies anticipate distribution under change.
Language: Английский
Citations
1CATENA, Journal Year: 2023, Volume and Issue: 229, P. 107209 - 107209
Published: May 10, 2023
As an important component of the climate system, permafrost responds significantly to change, and its impact on ecosystem cannot be ignored. In this study, we analyzed temporal spatial variation trends normalized difference vegetation index (NDVI) in Arctic regions revealed correlation between active-layer thickness (ALT), soil temperature, NDVI change. Using partial method, assessed ecological regulation service ecosystem. The results showed that both average annual maximum summer values region followed a significant increasing trend from 1982 2015. coefficient (ACC) ALT was 0.35, by ACC (0.33) temperature at 7–28 cm depth, had lower (0.31) 0–7 ALT. When precipitation snow water equivalent (SWE) remained unchanged, 0.711, which positive correlation. It also degradation dominant factor controlling increase, whereas SWE little effect. study deepened our understanding importance for services, effectively filled gap tundra services value has been ignored global assessment.
Language: Английский
Citations
11Communications Earth & Environment, Journal Year: 2024, Volume and Issue: 5(1)
Published: June 20, 2024
Abstract Climate change leads to permafrost thawing, accelerating carbon emissions increases, challenges the goal of climate mitigation. However, it remains unknown whether implementing ecological restoration projects in Alpine areas can offset adverse effects thawing locally. Here we took Qinghai‒Tibet Plateau as an example explore this issue based on improved Biome-BGCMuSo model. We found future change-induced will decrease sink. Projects’ sink enhancement could fully counteract thawing-induced loss. Additionally, warmer and wetter climates enlarge suitable area for restoration. If these are taken into account, attributable Projects further increase. These results indicate that ERPs have potential combat loss, their contribution be amplified by change.
Language: Английский
Citations
3Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(2)
Published: Jan. 13, 2025
Language: Английский
Citations
0Journal of Plant Ecology, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 16, 2025
Abstract Phenological model is a useful tool to predict vegetation phenology and investigate the relationship between climate. However, compared with temperate boreal ecosystems, phenological modeling work in alpine regions has received much less attention. In this study, we established semi-mechanistic model, AGSI considering different impacts of daily maximum minimum air temperatures constraints precipitation photoperiod for predicting foliar grasslands on Qinghai–Tibetan Plateau (QTP). The was driven by temperature (Tmin), (Tmax), averaged over previous month (PA), (Photo). Based further assessed Tmin, Tmax, PA, Photo accuracy, identified predominant climatic controls entire QTP. Results showed that had higher accuracy than other GSI models. Total RMSE predicted leaf onset offset dates when evaluated using ground observations 12.9 d, which decreased those models 10.9%–54.1%. improved 20.2% after effects Tmax PA AGSI. Overall, Tmin more critical extensive grasslands. limiting effect also considerable, primarily during July–November. This study provides simple effective evaluate development regions.
Language: Английский
Citations
0Plant and Soil, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 3, 2025
Language: Английский
Citations
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