Cited by Influence of vegetation restoration strategies on seasonal soil water deficit in a subtropical hilly catchment of southwest China

Decoupling the effects of climate, topography, land use, revegetation, and dam construction on streamflow, sediment, total nitrogen and phosphorus in the Yangtze River Basin DOI

Yinan Ning,

João Pedro Nunes, Jichen Zhou

et al.

The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 968, P. 178800 - 178800

Published: Feb. 18, 2025

Language: Английский

Citations

Evapotranspiration Partitioning for Croplands Based on Eddy Covariance Measurements and Machine Learning Models DOI

Jie Zhang, Shanshan Yang, Jingwen Wang

et al.

Agronomy, Journal Year: 2025, Volume and Issue: 15(3), P. 512 - 512

Published: Feb. 20, 2025

Accurately partitioning evapotranspiration (ET) of cropland into productive plant transpiration (T) and non-productive soil evaporation (E) is important for improving crop water use efficiency. Many methods, including machine learning have been developed ET partitioning. However, the applicability models in with diverse rotations not clear. In this study, are used to predict E, T obtained by calculating difference between leading derivation ratio (T/ET). We evaluated six (i.e., artificial neural networks (ANN), extremely randomized trees (ExtraTrees), gradient boosting decision tree (GBDT), light (LightGBM), random forest (RF), extreme (XGBoost)) on at 16 flux sites during period from 2000 2020. The evaluation results showed that XGBoost model had best performance (R = 0.88, RMSE 6.87 W/m2, NSE 0.77, MAE 3.41 W/m2) when considering meteorological data, ecosystem sensible heat flux, respiration, content, remote sensing vegetation indices as input variables. Due unavailability observed E or data sites, we three other widely methods indirectly validate accuracy our based XGBoost. estimation were highly consistent their 0.83–0.91). Moreover, estimated (T/ET) different crops. On average, maize highest T/ET 0.619 ± 0.119, followed soybean (0.618 0.085), winter wheat (0.614 0.08), sugar beet (0.611 0.065). Lower was found paddy rice (0.505 0.055), barley (0.590 0.058), potato (0.540 0.088), rapeseed (0.522 0.107). These suggest easy applicable reveal obvious differences among crops, which crucial sustainability resources improvements

Language: Английский

Citations

Vegetation coverage patterns in the “mountain–basin” system of arid regions: Driving force contribution, non-stationarity, and threshold effects DOI

Rou Ma, Zhengyong Zhang,

Lin Liu

et al.

Ecological Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 103084 - 103084

Published: Feb. 1, 2025

Language: Английский

Citations

Accelerating urban warming effects on the spring phenology in cold cities but decelerating in warm cities DOI

Hangqi Liang,

Hongfang Zhao,

Wanying Cheng

et al.

Urban forestry & urban greening, Journal Year: 2024, Volume and Issue: 102, P. 128585 - 128585

Published: Nov. 16, 2024

Language: Английский

Citations

Revisiting evapotranspiration inputs in eco-hydrological modeling for climate change assessment DOI

Yanchun Zhou, Lucy Marshall, Dayang Li

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 642, P. 131888 - 131888

Published: Aug. 24, 2024

Evapotranspiration (ET) is an essential variable linking hydrological and ecological processes typically modeled as a function of potential evapotranspiration soil moisture in traditional models. However, commonly used empirical ET models do not recognize the underlying vegetation dynamics. This can have implications when are extrapolated under future climate change. In this study, HYMOD-BVM (THV) eco-hydrological model adopted benchmark model. A modified (MHV) developed using actual substitute for PET input to consider dynamics The THV MHV compared evaluate how streamflow (Q) leaf area index (LAI) vary Florentine River (FR, energy-limited) catchment Murray (MR, water-limited) Australia. Six global (GCMs) from latest Coupled Model Intercomparison Project (CMIP6) bias-corrected employed calibrated models, ensemble mean results analyzed. Results suggest that projected by tends be higher than model, while LAI presents opposite trend. energy-limited appears more susceptible change whereas larger effects seen water-limited catchment. Overall, our research highlights on scenario analysis prompts need development spatial temporal continuously accurate both current climates.

Language: Английский

Citations

Assessment of waterlogging hazard during maize growth stage in the Songliao plain based on daily scale SPEI and SMAI DOI

Feng Zhi, Jiquan Zhang,

Yuhai Bao

et al.

Agricultural Water Management, Journal Year: 2024, Volume and Issue: 304, P. 109081 - 109081

Published: Sept. 24, 2024

Language: Английский

Citations

Water-Holding Effect Responses of Three Sand-Fixing Shrubs to Rainfall Changes in the Hobq Desert: An Analysis of the Overground Shrub Configuration DOI

Liyuan Lu,

Wu Yong Sheng,

Feng Ji

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

Influence of vegetation restoration strategies on seasonal soil water deficit in a subtropical hilly catchment of southwest China DOI

Jiapan Xu,

Muxing Liu, Jun Yi

et al.

CATENA, Journal Year: 2024, Volume and Issue: 248, P. 108578 - 108578

Published: Nov. 26, 2024

Language: Английский

Citations