Global Response of Evapotranspiration Ratio to Climate Conditions and Watershed Characteristics in a Changing Environment

Liu, Zhiyong; Cheng, Linyin; Zhou, Guoyi; Chen, Xiaohong; Lin, Kairong; Zhang, Wenfeng; Chen, Xiuzhi; Zhou, Ping

doi:10.1029/2020jd032371

Cited by 25 publications

(13 citation statements)

References 92 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Identifying the contribution of climate change and vegetation coverage to ET change can help understand the causes of hydrological variations and explain the complex interactions between vegetation and climate. For this purpose, a number of attribution analyses have been conducted globally [1,21,[28][29][30], and several types of approaches have been used to investigate the linkage of ET and various driving variables. Field observations are commonly used to quantify the impacts of climate and vegetation on ET, such as eddy covariance techniques, porometry, and lysimeters, and scintillometry, but these observation methods only cover small areas at the site level with short time spans; thus, the response mechanisms depending on the multiple vegetation cover and long-term climate evolution at the regional scale cannot be completely reflected.…”

Section: Introductionmentioning

confidence: 99%

Quantifying the Responses of Evapotranspiration and Its Components to Vegetation Restoration and Climate Change on the Loess Plateau of China

Qiu

Shi

et al. 2021

Remote Sensing

View full text Add to dashboard Cite

Quantitatively identifying the influences of vegetation restoration (VR) on water resources is crucial to ecological planning. Although vegetation coverage has improved on the Loess Plateau (LP) of China since the implementation of VR policy, the way vegetation dynamics influences regional evapotranspiration (ET) remains controversial. In this study, we first investigate long-term spatiotemporal trends of total ET (TET) components, including ground evaporation (GE) and canopy ET (CET, sum of canopy interception and canopy transpiration) based on the GLEAM-ET dataset. The ET changes are attributed to VR on the LP from 2000 to 2015 and these results are quantitatively evaluated here using the Community Land Model (CLM). Finally, the relative contributions of VR and climate change to ET are identified by combining climate scenarios and VR scenarios. The results show that the positive effect of VR on CET is offset by the negative effect of VR on GE, which results in a weak variation in TET at an annual scale and an increased TET is only shown in summer. Regardless of the representative concentration pathway (RCP4.5 or RCP8.5), differences resulted from the responses of TET to different vegetation conditions ranging from −3.7 to −1.2 mm, while climate change from RCP4.5 to RCP8.5 caused an increase in TET ranging from 0.1 to 65.3 mm. These findings imply that climate change might play a dominant role in ET variability on the LP, and this work emphasizes the importance of comprehensively considering the interactions among climate factors to assess the relative contributions of VR and climate change to ET.

show abstract

Section: Introductionmentioning

confidence: 99%

Quantifying the Responses of Evapotranspiration and Its Components to Vegetation Restoration and Climate Change on the Loess Plateau of China

Qiu

Shi

et al. 2021

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…In this study, we focused on the response of ET to vegetation change in the highly disturbed and diverse geographic and climatic region of the central interior of British Columbia, Canada. Based on the work of recent global studies (Berghuijs et al, 2017;Gudmundsson et al, 2016;Z. Liu et al, 2020;Wei et al, 2018;Xu et al, 2013;Zhou et al, 2015) and those in other areas such as China (Jiang et al, 2015;Ning et al, 2020;Shen et al, 2017;Tang & Wang, 2020;D.…”

Section: Research Objectivesmentioning

confidence: 99%

Improved Regional Scale Dynamic Evapotranspiration Estimation Under Changing Vegetation and Climate

Giles-Hansen

Wei

2021

Water Resources Research

View full text Add to dashboard Cite

Vegetation change can significantly alter evapotranspiration (ET), an important component of the terrestrial water balance, and consequently influences other hydrological processes. With no direct measurement techniques available at large spatial scales, the accurate estimation of ET under changing forest landscapes and climate is challenging. In this study, we used an improved method based on Fuh's equation (a functional form of the Budyko framework) to investigate ET responses to cumulative forest disturbance and climate in the snow‐dominated interior of British Columbia, Canada. First, we divided the study region into three distinct climate groups, and then related the watershed parameter m in Fuh's equation to vegetation change (represented by cumulative equivalent clearcut area (CECA)) and watershed properties, with independent calibration and validation watersheds. The validated relationships were used to examine regional ET variations (∼380,000 km2). Our results showed that ET in moderate climates had the highest sensitivity to CECA, characterized by wetness index between 1 and 2 (the ratio of precipitation to potential evapotranspiration). ET in dry climates (wetness index <1) was also significantly related to CECA, but with reduced sensitivity compared to the moderate climates. Wetter climates (wetness index >2) did not show a significant relationship with CECA, suggesting an insensitivity of ET to forest change. Simulations under future climate and vegetation disturbance scenarios demonstrated that ET would be further decreased in most of the study region. Forest management should consider reducing disturbance in the dry to moderate climate areas to mitigate negative impacts on hydrological processes and functions.

show abstract

“…The widely held interpretations of explicit curves representing individual catchment behaviour and the catchment-specific parameter representing biophysical/landscape features has led to the development of methods to determine the sensitivity of rainfall partitioning to climate and/or landscape changes for individual catchments (Roderick and Farquhar, 2011;Wang and Hejazi, 2011;Yang and Yang, 2011;Wang et al, 2016b;Zhou et al, 2016;Shen et al, 2017;Zhang et al, 2016;Yeh and Tsao, 2020;Zhang et al, 2020;Sinha et al, 2020;Ning et al, 2020b;Liu et al, 2020;Li et al, 2020e;Li et al, 2020a;Liu et al, 2019a;Li et al, 2019;Yang et al, 2018; https://doi.org/10.5194/hess-2020-584 Preprint. Discussion started: 13 November 2020 c Author(s) 2020.…”

Section: Current Interpretations Of Explicit Budyko Curves and The Pamentioning

confidence: 99%

“…This interpretation has motivated profound efforts to understand the relationship between biophysical features and catchment-specific parameters (Yang et al, 2007;Donohue et al, 2012;Yang et al, 2009;Shao et al, 2012;Li et al, 2013;Xu et al, 2013;Cong et al, 2015;Yang et al, 2016;Zhang et al, 2018;Abatzoglou and Ficklin, 2017;Xing et al, 2018a;Zhao et al, 2020;Ning et al, 2020b;Li et al, 2020c;Li et al, 2020b;Zhang et al, 2019b;Ning et al, 2019;Bai et al, 2019). Numerous studies have also focused on determining the sensitivity of rainfall partitioning to climatic and/or land use changes (Roderick and Farquhar, 2011;Wang and Hejazi, 2011;Yang and Yang, 2011;Wang et al, 2016b;Zhou et al, 2016;Shen et al, 2017;Zhang et al, 2016;Yeh and Tsao, 2020;Zhang et al, 2020;Sinha et al, 2020;Ning et al, 2020b;Liu et al, 2020;Li et al, 2020e;Li et al, 2020a;Liu et al, 2019a;Li et al, 2019;Yang et al, 2018;Xing et al, 2018b;Li et al, 2018;Xiangyu et al, 2020), as well as on deriving causal attribution to changes in this partitioning (Wang and Hejazi, 2011;Xing et al, 2018b;…”

Section: Introductionmentioning

confidence: 99%

Reinterpreting the Budyko Framework

Reaver¹,

Kaplan²,

Klammler³

et al. 2020

Preprint

View full text Add to dashboard Cite

Abstract. The Budyko framework posits that a catchment's long-term mean evapotranspiration (E) is primarily governed by the availabilities of water and energy, represented by long-term mean precipitation (P) and potential evapotranspiration (E0), respectively. This assertion is supported by the distinctive clustering pattern that catchments take in Budyko space. Several semi-empirical, non-parametric curves have been shown to generally represent this clustering pattern but cannot explain deviations from the central tendency. Parametric Budyko equations attempt to generalize the non-parametric framework, through the introduction of a catchment-specific parameter (n or w). Prevailing interpretations of Budyko curves suggest that the explicit functional forms represent trajectories through Budyko space for individual catchments undergoing changes in aridity index, (E0/P), while n and w values represent catchment biophysical features; however, neither of these interpretations arise from the derivation of the Budyko equations. In this study, we re-examine, reinterpret, and test these two key components of the current Budyko framework both theoretically and empirically. In our theoretical test, we use a biophysical model for E to demonstrate that n and w values can change without invoking changes in landscape biophysical features and that catchments are not required to follow Budyko curve trajectories. Our empirical test uses data from 728 reference catchments in the United Kingdom and United States to illustrate that catchments rarely follow Budyko curve trajectories and that n and w are not transferable between catchments or across time for individual catchments. This non-transferability implies n and w are proxy variables for E/P, rendering the parametric Budyko equations under-determined and lacking of predictive ability. Finally, we show that the parametric Budyko equations are non-unique, suggesting their physical interpretations are unfounded. Overall, we conclude that, while the shape of Budyko curves generally captures the global behavior of multiple catchments, their specific functional forms are arbitrary and not reflective of the dynamic behavior of individual catchments.

show abstract

Global Response of Evapotranspiration Ratio to Climate Conditions and Watershed Characteristics in a Changing Environment

Cited by 25 publications

References 92 publications

Quantifying the Responses of Evapotranspiration and Its Components to Vegetation Restoration and Climate Change on the Loess Plateau of China

Quantifying the Responses of Evapotranspiration and Its Components to Vegetation Restoration and Climate Change on the Loess Plateau of China

Improved Regional Scale Dynamic Evapotranspiration Estimation Under Changing Vegetation and Climate

Reinterpreting the Budyko Framework

Contact Info

Product

Resources

About