Quantitatively linking ecosystem service functions with soil moisture and ecohydrology regimes in watershed DOI
Lintong Huang, Hongxiang Wang,

Huifeng Liu

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 955, С. 176866 - 176866

Опубликована: Окт. 16, 2024

Язык: Английский

Global estimates of the storage and transit time of water through vegetation DOI
Andrew J. Felton, Joshua B. Fisher, Koen Hufkens

и другие.

Nature Water, Год журнала: 2025, Номер unknown

Опубликована: Янв. 9, 2025

Язык: Английский

Процитировано

1

Declining precipitation frequency may drive earlier leaf senescence by intensifying drought stress and enhancing drought acclimation DOI Creative Commons
Xinyi Zhang, Xiaoyue Wang, Constantin M. Zohner

и другие.

Nature Communications, Год журнала: 2025, Номер 16(1)

Опубликована: Янв. 21, 2025

Precipitation is an important factor influencing the date of foliar senescence, which in turn affects carbon uptake terrestrial ecosystems. However, temporal patterns precipitation frequency and its impact on senescence remain largely unknown. Using both long-term flux data satellite observations across Northern Hemisphere, we show that, after excluding impacts from temperature, radiation total by partial correlation analysis, declining may drive earlier 1982 to 2022. A decrease intensifies drought stress reducing root-zone soil moisture increasing atmospheric dryness, limit photosynthesis necessary for sustained growth. The enhanced acclimation, showing a more rapid response drought, also explains positive relationship between date. Finally, find 30 current state-of-art Earth system models fail capture sensitivity DFS changes incorrectly predict direction correlations approximately half northern global lands, historical simulations future predictions. Our results therefore highlight critical need include frequency, rather than just precipitation, into accurately forecast plant phenology under climate change. leaf senescence. Here, authors use demonstrate that reduced associated with faster trees don't precipitation.

Язык: Английский

Процитировано

1

Elevation‐Dependent Vegetation Greening and Its Responses to Climate Changes in the South Slope of the Himalayas DOI Creative Commons
Hamza Mukhtar, Yujia Yang,

Mengjiao Xu

и другие.

Geophysical Research Letters, Год журнала: 2025, Номер 52(4)

Опубликована: Фев. 13, 2025

Abstract The South Slope of the Himalayas (SSH) is witnessing dynamic shifts in vegetation greenness driven by climatic conditions across elevation variability. Here, we analyzed greening patterns natural vegetated surfaces along elevational gradient and examined their connection to climate changes from 2000 2022. Over 50% area SSH exhibited significant greening, with higher rates Central (CH) Western (WH) compared Eastern (EH). relative change rate (RCR) showed a notable increasing ∼2,600 ∼5,000 m, followed decreasing trend all subregions. Results that air temperature promoted significantly high mountains but caused heat stress lowlands CH WH. Precipitation supported growth middle region except EH, which faced waterlogging stress. These findings are valuable for understanding under future advancing our knowledge ecosystem responses.

Язык: Английский

Процитировано

1

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

и другие.

Earth s Future, Год журнала: 2025, Номер 13(3)

Опубликована: Март 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.

Язык: Английский

Процитировано

1

Large global-scale vegetation sensitivity to daily rainfall variability DOI
Andrew F. Feldman, Alexandra G. Konings, Pierre Gentine

и другие.

Nature, Год журнала: 2024, Номер 636(8042), С. 380 - 384

Опубликована: Дек. 11, 2024

Язык: Английский

Процитировано

5

Hydrological niche separation between two coexisting shrubs in an extremely arid region DOI Creative Commons
Majie Fan, Hai Zhou, Lihui Tian

и другие.

Journal of Hydrology Regional Studies, Год журнала: 2025, Номер 57, С. 102170 - 102170

Опубликована: Янв. 5, 2025

Язык: Английский

Процитировано

0

Assessment of Rainfall Frequencies from Global Precipitation Datasets DOI Creative Commons
Xiaolong Yin, Ziyang Zhang,

Lin Zhi

и другие.

Atmosphere, Год журнала: 2025, Номер 16(1), С. 66 - 66

Опубликована: Янв. 9, 2025

Rainfall is of vital importance to terrestrial ecosystems and its intermittent characteristics have a profound impact on plant growth, soil biogeochemical cycles, water resource management. frequency, one the key statistics rainfall intermittency, has received relatively little research attention. Leveraging scale-dependent relationships in frequencies using various global precipitation datasets, we found most grid-scale are large do not converge field-scale as grid size decreases. Specifically, these differences high 41.8% for Global Precipitation Climatology Project (GPCP) 74.8% fifth-generation European Centre Medium-Range Weather Forecasts Reanalysis (ERA5), which much larger than mean rates but can be partially corrected by redefining wet days with higher thresholds. These across regions world should interpreted inherent biases associated model structure or algorithms used deriving data cannot reduced simply increasing resolutions. Such could propagate into hydrological process influence calibration rainfall-runoff process, nonlinear land surface modeling. We, therefore, call urgent this topic avoid misunderstandings intermittency ensure proper application fields.

Язык: Английский

Процитировано

0

Differential responses of plant and microbial respiration to extreme precipitation and drought during spring and summer in the Eurasian meadow steppe DOI
Tsegaye Gemechu Legesse, Jingfeng Xiao, Gang Dong

и другие.

Environmental Research, Год журнала: 2025, Номер 269, С. 120883 - 120883

Опубликована: Янв. 17, 2025

Язык: Английский

Процитировано

0

Pre-Season Precipitation and Temperature Have a Larger Influence on Vegetation Productivity than That of the Growing Season in the Agro-Pastoral Ecotone in Northern China DOI Creative Commons
Yuanyuan Zhang, Qingtao Wang, Xueyuan Zhang

и другие.

Agriculture, Год журнала: 2025, Номер 15(2), С. 219 - 219

Опубликована: Янв. 20, 2025

Climate change and human activities are reshaping the structure function of terrestrial ecosystems, particularly in vulnerable regions such as agro-pastoral ecotones. However, extent to which climate impacts vegetation growth these areas remains poorly understood, largely due modifying effects human-induced land cover changes on sensitivity climatic variations. This study utilizes satellite-derived indices, datasets, data investigate influence both ecotone northern China (APENC) from 2001 2022. The results reveal that productivity, indicated by kernel Normalized Difference Vegetation Index (kNDVI), varies depending type APENC. Moreover, ridge regression modeling shows pre-season conditions (i.e., precipitation temperature) have a stronger positive impact growing-season productivity than growing season temperature, while effect vapor pressure deficit (VPD) is negative. Notably, kNDVI exhibits significant (p < 0.05) 34.12% region negative VPD 38.80%. model explained 89.10% total variation (R2 = 0.891). These findings not only emphasize critical role historical contemporary shaping but also provide valuable insights into how adjust agricultural animal husbandry management strategies improve regional adaptation based information previous seasons fragile regions.

Язык: Английский

Процитировано

0

Role of Micrometeorological Memory in Modulating Sub‐Daily Scale Variability of Net Ecosystem Exchange DOI
Akash Verma, Leena Khadke,

Elizabeth Eldhose

и другие.

Journal of Geophysical Research Biogeosciences, Год журнала: 2025, Номер 130(1)

Опубликована: Янв. 1, 2025

Abstract Net Ecosystem Exchange (NEE) is crucial for understanding the carbon balance in ecosystems, indicating whether they act as sinks or sources. While impact of hydrometeorological factors on NEE at daily and monthly scales has been well‐researched, significance sub‐daily variability influence memory micrometeorological variables remain understudied. This study addresses this gap by analyzing temporal dynamics using half‐hourly data from 29 FLUXNET sites over least 6 years. We found that contributes 10%–55% 13‐day variability, depending seasonal cycles biome characteristics. Using an information theory based transfer entropy (TE) approach, we identified causal drivers within a 6‐hr memory. Our results show significantly impacts NEE, surpassing their instantaneous effects. Temperature (TA), vapor pressure deficit (VPD), soil water content (SWC Mean ) consistently affect memory, whereas sensible heat (H) incoming shortwave radiation (SW IN diminishes higher lags. magnitude average TE to exhibits notable variations, structure how transferred does not differ across seasons, reflected shape values various time SWC , VPD, TA jointly, while H SW have overlapping Additionally, precipitation influences indirectly through . findings highlight importance accounting high‐frequency its underlying when investigating ecohydrological interactions, shedding light role carbon‐water interactions.

Язык: Английский

Процитировано

0