Soil warming affects sap flow responses to meteorological conditions for <i>Betula albosinensis</i> at a subalpine wetland in the edge of northeast Qinghai–Tibet Plateau

Yan, Changrong; Takeuchi, Shinichi; Qiu, Guo Yu

doi:10.1002/eco.2079

Cited by 9 publications

(5 citation statements)

References 45 publications

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“…A similar result was found by Huang et al (2011) who reported the daily stand transpiration maximums occurred in July (the warm season) and the minimums occurred in January (cool season), and that plants maintained a high transpiration from September to October in karst regions of southwest China. Similar seasonal sap flow patterns have been reported in non‐karst regions (Lapa et al, 2017; Liu et al, 2012; Yan et al, 2019).…”

Section: Discussionsupporting

confidence: 83%

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Sap flow and plant water sources for typical vegetation in a subtropical humid karst area of southwest China

Zeng

et al. 2021

Hydrological Processes

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Plant water use plays a crucial part in the soil-plant-atmosphere continuum. However, in karst regions, plants frequently suffer from water shortages due to low soil water storage capacity. Therefore, it is necessary to understand plant water consumption (as determined by sap flow) and seasonal variation of water sources to improve water management in karst catchments. In this study, thermal dissipation probes (TDP), calibrated using empirical equations, were used to measure the sap flow of three typical woody vegetations, including Coriaria nepalensis (sparse-shrub), Toona sinensis (secondary forest) and Populus adenopoda (shrub-grass). Oxygen and hydrogen stable isotopes were used to analyze seasonal variation of plant water sources. The results showed that: (1) T. Sinensis (3.89 ± 3.87 LÁday −1) had significantly higher daily sap flow than C. nepalensis (0.33 ± 0.37 LÁday −1) and P. adenopoda (0.09 ± 0.12 LÁday −1); (2) daily sap flow was closely correlated to photosynthetically active radiation (PAR) and vapour pressure deficit (VPD); (3) over the entire study period, plants mainly used water from the surface soil horizons; and (4) a greater proportion of epikarst water was used for C. nepalensis than by T. sinensis and P. adenopoda over the whole growth stage, and more epikarst water was used in early and mid-growth stages compared to the late stage for the three species. This study contributes to a deeper understanding of the plant water use strategies in karst regions, and is helpful for ecosystem management.

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Section: Discussionsupporting

confidence: 83%

“…Generally, all species used more water from epikarst in the early and mid-growth stage compared with the late growth stage. (Lapa et al, 2017;Liu et al, 2012;Yan et al, 2019).…”

Section: The Seasonal Variation Of Plant Water Sourcesmentioning

confidence: 99%

Sap flow and plant water sources for typical vegetation in a subtropical humid karst area of southwest China

Zeng

et al. 2021

Hydrological Processes

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“…For instance, Fredeen and Sage (1999) found that decreases in water viscosity explained half of the increase in leaf transpiration rate in white spruce resulting from increases temperature from 10 to 35°C, and a similar finding was established by Yang et al (2020) on rice and wheat in the 15 to 40°C range. Similarly, root warming was associated with increases in root hydraulic conductance and sapflow, which were traced in large part to a reduction in water viscosity (Cochard et al, 2000; Melkonian, Yu, & Setter, 2004; Wieser, Grams, Matyssek, Oberhuber, & Gruber, 2015; Yan, Takeuchi, & Qiu, 2019).…”

Section: Effect Of High‐temperature Stress On Crop Water Usementioning

confidence: 99%

Transpiration increases under high‐temperature stress: Potential mechanisms, trade‐offs and prospects for crop resilience in a warming world

Sadok

López

Smith

2020

Plant Cell & Environment

100

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The frequency and intensity of high‐temperature stress events are expected to increase as climate change intensifies. Concomitantly, an increase in evaporative demand, driven in part by global warming, is also taking place worldwide. Despite this, studies examining high‐temperature stress impacts on plant productivity seldom consider this interaction to identify traits enhancing yield resilience towards climate change. Further, new evidence documents substantial increases in plant transpiration rate in response to high‐temperature stress even under arid environments, which raise a trade‐off between the need for latent cooling dictated by excessive temperatures and the need for water conservation dictated by increasing evaporative demand. However, the mechanisms behind those responses, and the potential to design the next generation of crops successfully navigating this trade‐off, remain poorly investigated. Here, we review potential mechanisms underlying reported increases in transpiration rate under high‐temperature stress, within the broader context of their impact on water conservation needed for crop drought tolerance. We outline three main contributors to this phenomenon, namely stomatal, cuticular and water viscosity‐based mechanisms, and we outline research directions aiming at designing new varieties optimized for specific temperature and evaporative demand regimes to enhance crop productivity under a warmer and dryer climate.

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“…Sap flow technology has been widely applied for the estimation of tree transpiration, analysis of soil water content level, management of water resources and analysis of tree health status. The main external factors affecting the sap flow rate of trees are environmental factors, such as saturated vapor pressure deficit [28], air relative humidity [69], air temperature [70], wind speed [26], soil moisture content [65], and soil temperature [71]. In this paper, an improved sap flow prediction model was built with environmental factors by factor analysis and the CNN-GRU-BiLSTM network we designed.…”

Section: Discussionmentioning

confidence: 99%

An Improved Sap Flow Prediction Model Based on CNN-GRU-BiLSTM and Factor Analysis of Historical Environmental Variables

Guo

Wang

et al. 2023

Forests

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Sap flow is widely used to estimate the transpiration and water consumption of canopies and to manage water resources. In this paper, an improved time series prediction model was proposed by integrating three basic networks—CNN, GRU and BiLSTM—to assess sap flow with historical environment variables. A dataset with 17,569 records of each, including 9 environment variables and 1 sap flow, was applied from a public database of SAPFLUXNET. After normalization, the environment variables were analyzed and composed with the factor analysis method. After the CNN-GRU-BiLSTM structure was designed, N records of three main factors were computed from environment variables, which were measured at N previous moments, and the sap flow was measured at the current moment, and they were applied for each training, validation, and testing cycle. To improve and compare the CNN-GRU-BiLSTM-based model, nine other models, using the methods of multiple linear regression, support vector regression, random forest, LSTM, GRU, BiLSTM, CNN-GRU, CNN-BiLSTM, and CNN-GRU-LSTM, were constructed in this study, respectively. Results show that the performance of the CNN-GRU-BiLSTM-based model has more accuracy than the other nine models we built in this paper, with the mean absolute error, mean squared error, mean absolute percentage error, and coefficient of determination (R2) being 0.0410, 0.0029, 0.2708 and 0.9329, respectively. Furthermore, for a comparison of the descending dimension method of factor analysis, principal component analysis (PCA) and singular value decomposition (SVD) methods were applied and compared, respectively. Results show that the performance of the factor analysis-based model is better than the PCA- or SVD-based model, with the R2 results of the factor analysis-based model being higher than the PCA- and SVD-based models by 5.06% and 10.63%, respectively. This study indicates that the CNN-GRU-BiLSTM-based sap flow prediction model established with a factor analysis of historical environmental variables has optimistic applications for analyzing the transpiration of trees and evaluating water consumption.

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Soil warming affects sap flow responses to meteorological conditions for Betula albosinensis at a subalpine wetland in the edge of northeast Qinghai–Tibet Plateau

Cited by 9 publications

References 45 publications

Sap flow and plant water sources for typical vegetation in a subtropical humid karst area of southwest China

Sap flow and plant water sources for typical vegetation in a subtropical humid karst area of southwest China

Transpiration increases under high‐temperature stress: Potential mechanisms, trade‐offs and prospects for crop resilience in a warming world

An Improved Sap Flow Prediction Model Based on CNN-GRU-BiLSTM and Factor Analysis of Historical Environmental Variables

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