A coupled eco-hydrological model to simulate vegetation condition from soil moisture deficit in a data-scarce semi-arid wetland DOI Creative Commons
Moyang Liu, Barry Croke, Serena H. Hamilton

et al.

Ecological Modelling, Journal Year: 2025, Volume and Issue: 504, P. 111099 - 111099

Published: April 2, 2025

Estimating non-productive water loss in irrigated farmland in arid oasis regions: Based on stable isotope data DOI Creative Commons

Yinying Jiao,

Guofeng Zhu,

Gaojia Meng

et al.

Agricultural Water Management, Journal Year: 2023, Volume and Issue: 289, P. 108515 - 108515

Published: Sept. 25, 2023

In arid oasis regions, water resources are severely scarce, with agricultural usage far exceeding that of more humid areas. As a result, assessing non-productive losses in farmland becomes crucial for estimating the requirements reliant on irrigation cultivation. From April 2018 to October 2021, we established an observation system Minqin Oasis farmland. By utilizing hydrogen and oxygen isotopes precipitation, soil water, maize stem xylem quantified loss (FE) infiltration rate (fe) fields. Our findings indicate: (1) The average from rainfall fields were 39 %, peak reaching 58 %; (2) Non-productive due evapotranspiration mainly observed June July, while predominantly occurred April-May August-September; (3) Crop capacity emerged as significant factor influencing evaporation losses, individual amounts determined losses. We believe judiciously managing volume adjusting strategies farmlands could unlock substantial potential conserving resources.

Language: Английский

Citations

40
Soil moisture plays an increasingly important role role in constraining vegetation productivity in China over the past two decades DOI
Guizeng Qi, Dunxian She, Jun Xia

et al.

Agricultural and Forest Meteorology, Journal Year: 2024, Volume and Issue: 356, P. 110193 - 110193

Published: Aug. 14, 2024

Language: Английский

Citations

12
Vegetation canopy structure mediates the response of gross primary production to environmental drivers across multiple temporal scales DOI
Yaoyao Zheng, Weiqing Zhao, Anping Chen

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 917, P. 170439 - 170439

Published: Jan. 26, 2024

Language: Английский

Citations

11
Drought offsets the vegetation greenness-induced gross primary productivity from 1982 to 2018 in China DOI
Liang Zheng, Jianzhong Lu,

Xiaoling Chen

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 632, P. 130881 - 130881

Published: Feb. 16, 2024

Language: Английский

Citations

11
Drought propagation and its driving forces in central Asia under climate change DOI
Yanchao Zhu, Peng Yang, Jun Xia

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 636, P. 131260 - 131260

Published: April 28, 2024

Language: Английский

Citations

11
Incorporation crisis lifecycle theory into full-stage flash drought spatio-temporal pattern identification and risk analysis DOI
Zixuan Qi, Yuchen Ye, Yanpeng Cai

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 642, P. 131828 - 131828

Published: Aug. 17, 2024

Language: Английский

Citations

9
Advanced soil conservation for African drylands: from erosion models to management theories DOI

Suleiman Usman

Pedosphere, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

1
Response of Vegetation to Drought in the Source Region of the Yangtze and Yellow Rivers Based on Causal Analysis DOI Creative Commons
Jie Lu, Tianling Qin, Denghua Yan

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(4), P. 630 - 630

Published: Feb. 8, 2024

The vegetation and ecosystem in the source region of Yangtze River Yellow (SRYY) are fragile. Affected by climate change, extreme droughts frequent permafrost degradation is serious this area. It very important to quantify drought–vegetation interaction area under influence climate–permafrost coupling. In study, based on saturated vapor pressure deficit (VPD) soil moisture (SM) that characterize atmospheric drought, as well Normalized Differential Vegetation Index (NDVI) solar-induced fluorescence (SIF) greenness function, evolution regional productivity drought were systematically identified. On basis, technical advantages causal discovery algorithm Peter–Clark Momentary Conditional Independence (PCMCI) applied distinguish response VPD SM. Furthermore, study delves into mechanisms NDVI SIF considering different types areas. findings indicated low SM high limiting factors for growth. positive negative effects accounted 47.88% 52.12% total area, respectively. Shrubs most sensitive SM, speed grassland was faster than forest land. impact SRYY stronger VPD, effect frozen more obvious. average 0.21 0.41, respectively, which twice those whole dominated changes 62.87% (76.60%) research results can provide scientific basis theoretical support assessment adaptation permafrost, vegetation, change reference ecological protection regions.

Language: Английский

Citations

7
Grassland productivity in arid Central Asia depends on the greening rate rather than the growing season length DOI
Jianhao Li,

Wanqiang Han,

Jianghua Zheng

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 933, P. 173155 - 173155

Published: May 11, 2024

Language: Английский

Citations

7
Dual effects on vegetation from urban expansion in the drylands of northern China: A multiscale investigation using the vegetation disturbance index DOI
Tao Qi, Qiang Ren, Chunyang He

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 928, P. 172481 - 172481

Published: April 16, 2024

Language: Английский

Citations

4