Grazing and precipitation addition interactions alleviate dominant species overgrowth and promote community productivity and biodiversity in a typical steppe DOI
Xiaojuan Huang,

Meiyue He,

Lan Li

et al.

European Journal of Agronomy, Journal Year: 2024, Volume and Issue: 161, P. 127370 - 127370

Published: Sept. 25, 2024

Language: Английский

Spring photosynthetic phenology of Chinese vegetation in response to climate change and its impact on net primary productivity DOI
Yingying Xue, Xiaoyong Bai,

Cuiwei Zhao

et al.

Agricultural and Forest Meteorology, Journal Year: 2023, Volume and Issue: 342, P. 109734 - 109734

Published: Sept. 27, 2023

Language: Английский

Citations

66

Differences in soil microbial community structure and assembly processes under warming and cooling conditions in an alpine forest ecosystem DOI
Fangwei Fu, Yueyao Li, Bo Zhang

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 907, P. 167809 - 167809

Published: Oct. 18, 2023

Language: Английский

Citations

23

Simulating the effect of climate change on soil microbial community in an Abies georgei var. smithii forest DOI Creative Commons
Fangwei Fu, Jiangrong Li, Yueyao Li

et al.

Frontiers 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

19

Warming differentially affects above- and belowground ecosystem functioning of the semi-arid alpine grasslands DOI
Jingxue Zhao, Wen Yang,

Lihua Tian

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 914, P. 170061 - 170061

Published: Jan. 11, 2024

Language: Английский

Citations

9

Contrasting Trends in Onset of Spring Green‐Up Between Grasslands and Forests in China DOI Creative Commons
Ying Hu, Bo Fu, Katerina Michaelides

et al.

Earth 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

1

Permafrost degradation services for Arctic greening DOI Creative Commons
Shijin Wang, Xiaoqing Peng

CATENA, 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

11

Ecological restoration is crucial in mitigating carbon loss caused by permafrost thawing on the Qinghai-Tibet Plateau DOI Creative Commons
Binbin Huang, Fei Lu, Xiaoke Wang

et al.

Communications 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

3

Assessing the distribution pattern of Saussurea medusa under climate change using an optimized MaxEnt model in Qinghai-Xizang Plateau DOI
Jinghua Chen,

Ruitao Yu

Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(2)

Published: Jan. 13, 2025

Language: Английский

Citations

0

An improved growing season index including the maximum temperature and precipitation to predict foliar phenology of alpine grasslands on the Qinghai–Tibetan Plateau DOI Creative Commons
Qingling Sun, Jiang Zhu,

Siyu Zhu

et al.

Journal 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

0

Inconsistent responses of above- and below-ground to 8 years increased snow depth at the alpine meadow in the permafrost region of the Tibetan Plateau DOI

Xiangjiao Tan,

Hongyan Yu,

Kai Yang

et al.

Plant and Soil, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 3, 2025

Language: Английский

Citations

0