Cumulative and Lag Effects of Meteorological Drought on Vegetation Cover in the Yellow River Basin DOI
Pingping Zhou, Hao Wu,

Xiaoyan Song

et al.

Ecohydrology, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 5, 2024

ABSTRACT Global warming has led to an increase in the frequency of meteorological drought events, posing a significant threat ecosystem security, particularly arid and semi‐arid regions. Previous studies have utilized correlation analyses examine relationship between vegetation drought; however, knowledge gap remains regarding causal process two. This study investigates linkage solar‐induced chlorophyll fluorescence (SIF) standardized precipitation evapotranspiration index (SPEI) Yellow River Basin (YRB) from 2001 2019 explores cumulative lagged effects SIF response SPEI. The results indicated that lag varied with intensity water stress. Vegetation regions exhibited poor tolerance high sensitivity, time SPEI are 6.5 2 months, respectively. Forest, compared cropland grassland, demonstrated greater reduced sensitivity. For forests, were 8.7 7.4 Grassland was more influenced by precipitation, while forests affected temperature. By analysing SPEI, this focuses on drought, which will strengthen understanding areas.

Language: Английский

Atmospheric drought dominates changes in global water use efficiency DOI
Jingjing Yang, Xiaoliang Lü, Zhunqiao Liu

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 934, P. 173084 - 173084

Published: May 10, 2024

Language: Английский

Citations

6
Estimating global transpiration from TROPOMI SIF with angular normalization and separation for sunlit and shaded leaves DOI
Zheng Chen, Shaoqiang Wang, Jing M. Chen

et al.

Remote Sensing of Environment, Journal Year: 2025, Volume and Issue: 319, P. 114586 - 114586

Published: Feb. 3, 2025

Language: Английский

Citations

0
A lightweight SIF-based crop yield estimation model: A case study of Australian wheat DOI

Jinru Xue,

Alfredo Huete, Zhunqiao Liu

et al.

Agricultural and Forest Meteorology, Journal Year: 2025, Volume and Issue: 364, P. 110439 - 110439

Published: Feb. 11, 2025

Language: Английский

Citations

0
Two-Stage Evapotranspiration Partitioning Under the Generalized Proportionality Hypothesis Based on the Interannual Relationship Between Precipitation and Runoff DOI Creative Commons

Changwu Cheng,

Wenzhao Liu, Rui Chen

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(7), P. 1203 - 1203

Published: March 28, 2025

The generalized proportionality hypothesis (GPH) highlights the competitive relationships among hydrological components as precipitation (P) transforms into runoff (Q) and evapotranspiration (E), providing a novel perspective on E partitioning that differs from traditional physical source-based approach. To achieve sequential of initial (Ei) continuing (Ec) under GPH, P-Q relationship-based Ei estimation method was proposed for Model Parameter Estimation Experiment (MOPEX) catchments. On this basis, we analyzed relationship between GPH-based ones separated by Penman-Monteith-Mu algorithm. Additionally, explored differences calculated inverse Budyko-WT model parameter (Ei/E) discussed implications Budyko framework. results showed following: (1) A significant linear (p < 0.05) prevailed in MOPEX catchments, robust data foundation estimation. Across Ec contributed 73% 27% total E, respectively. (2) combined proportion evaporation canopy interception wet soil averaged about 25%, it much lower than Ei, indicating difficult to establish connection components. (3) potential (EP) satisfying strictly constrained while inappropriate EP largely explained discrepancy Ei/E. This study deepens knowledge components, uncovers discrepancies different frameworks, provides new insights characterization key variables models.

Language: Английский

Citations

0
Solar Induced Chlorophyll Fluorescence: Origins and Applications, Relation to Photosynthesis and Retrieval DOI
Yongguang Zhang, Zhaoying Zhang

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

0
Specific Responses to Environmental Factors Cause Discrepancy in the Link Between Solar-Induced Chlorophyll Fluorescence and Transpiration in Three Plantations DOI Creative Commons
Meijun Hu, Shou‐Jia Sun,

Xiangfen Cheng

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(9), P. 1625 - 1625

Published: May 3, 2025

Vegetation transpiration (Tr) is crucial for the water cycle, regional balance, and plant growth but remains challenging to estimate at large scales. Sun-induced chlorophyll fluorescence (SIF) provides a novel method estimating Tr, its effectiveness limited by species specificity, requiring continuous tower-based observations comprehensive analysis across diverse ecosystems. In this study, SIF Tr were simultaneously monitored in Chinese cork oak (ring-porous), poplar (diffuse-porous), arborvitae (non-porous) plantations northern China, SIF–Tr relationship was further analyzed. The results showed that shared similar diurnal dynamics, although exhibited midday saturation. closely correlated, correlation strengthened as temporal scale aggregated. Environmental factors had nonlinear impacts on Tr. Therefore, deteriorated some extent midday, with short-term stress reducing 0.1–0.23. Compared linear empirical model, inclusion of environmental improved accuracy SIF-based estimation, increasing R2 value 0.12 0.37. At same level accuracy, number variables required higher half-hour than daily scale. This study demonstrated species-specific influence different plantations, enhanced understanding relationship, provided theoretical data support future large-scale predictions using satellite-based SIF.

Language: Английский

Citations

0
Challenges and Future Directions in Quantifying Terrestrial Evapotranspiration DOI Creative Commons
K. Yi, G. B. Senay, Joshua B. Fisher

et al.

Water Resources Research, Journal Year: 2024, Volume and Issue: 60(10)

Published: Oct. 1, 2024

Abstract Terrestrial evapotranspiration is the second‐largest component of land water cycle, linking water, energy, and carbon cycles influencing productivity health ecosystems. The dynamics ET across a spectrum spatiotemporal scales their controls remain an active focus research different science disciplines. Here, we provide overview current state in situ measurements, partitioning ET, remote sensing, discuss how approaches complement one another based on advantages shortcomings. We aim to facilitate collaboration among cross‐disciplinary group scientists overcome challenges identified this paper ultimately advance our integrated understanding ET.

Language: Английский

Citations

2
Elm Tree (U. Pumila.) Sap Flux Prediction by Tower Sif in a Temperate Savanna DOI
Weiwei Cong,

Kaijie Yang,

Sen Lu

et al.

Published: Jan. 1, 2024

Accurate tracking Savanna woody plants hydraulics is the key step to understand its response climate change and human management. Great inaccuracy existed in estimating vegetation of ecosystem. Solar-induced fluorescence (SIF) has shown potential predict transpiration but possibility using it estimation not clear. Based on three years tower observed far-red SIF ground sap flow monitoring a temperate savanna Otindag sandy land, China, we explore relationship between flux density build up based random forest model for estimation. Our results showed that was linear related elm (Ulmus pumila var. sabulosa) tree markedly at daily (R2=0.62-0.68, p < 0.001) vs. hourly scale (R2=0.47-0.56, 0.001). The predominant correlations SIF-sap were during U. pumila.'s medium growth period (July & August). Photosynthetic active radiation (PAR) major driver relationship. Soil moisture, vapor pressure deficit (VPD) air temperature influence monthly scale. By employing machine learning algorithm, with SIF, fractional coverage (FVC) environmental factors (PAR, VPD) as predictors, proposed great performance seasonal (R2=0.71; RMSE=0.003). confirmed accurately by FVC Savanna. This method could be also used land surface process modelling type sparse

Language: Английский

Citations

0
Cumulative and Lag Effects of Meteorological Drought on Vegetation Cover in the Yellow River Basin DOI
Pingping Zhou, Hao Wu,

Xiaoyan Song

et al.

Ecohydrology, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 5, 2024

ABSTRACT Global warming has led to an increase in the frequency of meteorological drought events, posing a significant threat ecosystem security, particularly arid and semi‐arid regions. Previous studies have utilized correlation analyses examine relationship between vegetation drought; however, knowledge gap remains regarding causal process two. This study investigates linkage solar‐induced chlorophyll fluorescence (SIF) standardized precipitation evapotranspiration index (SPEI) Yellow River Basin (YRB) from 2001 2019 explores cumulative lagged effects SIF response SPEI. The results indicated that lag varied with intensity water stress. Vegetation regions exhibited poor tolerance high sensitivity, time SPEI are 6.5 2 months, respectively. Forest, compared cropland grassland, demonstrated greater reduced sensitivity. For forests, were 8.7 7.4 Grassland was more influenced by precipitation, while forests affected temperature. By analysing SPEI, this focuses on drought, which will strengthen understanding areas.

Language: Английский

Citations

0