Quantifying the Impacts of Climate Change and Vegetation Variation on Actual Evapotranspiration Based on the Budyko Hypothesis in North and South Panjiang Basin, China

Li, Tiansheng; Xia, Jun; She, Dunxian; Cheng, Lei; Zou, Lei; Liu, Bojun

doi:10.3390/w12020508

Cited by 11 publications

(2 citation statements)

References 55 publications

(131 reference statements)

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“…It is generally believed that afforestation and vegetation improvement will lead to greater water consumption, and vegetation coverage is positively correlated with potential evaporation. A large number of studies also show that there is a close relationship between vegetation and parameter n [ 35 ]. Under other similar conditions, the parameter n of the watershed with broad vegetation coverage is usually greater than that of the watershed with small vegetation coverage.…”

Section: Discussionmentioning

confidence: 99%

Analysis of Runoff Variation Characteristics and Influencing Factors in the Wujiang River Basin in the Past 30 Years

Guo

Wang

2021

IJERPH

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Changes in climate and the underlying surface are the main factors affecting runoff. Quantitative assessment of runoff characteristics, and determination of the climate and underlying surface contribution to changes in runoff are critical to water resources management and protection. Based on the runoff data from the Wulong Hydrological Station, combined with the Mann-Kendall test, Indicators of Hydrologic Alteration (IHA), Budyko hypothesis, and changes in climate and the underlying surface, this study comprehensively analyzed the runoff in the Wujiang River Basin (WRB). The results showed that: (1) The annual runoff of Wujiang River showed a downward trend, and an abrupt change occurred in 2005. (2) The overall hydrological change in WRB is 46%, reaching a moderate change. (3) The contribution rates of precipitation (P), potential evaporation (ET0), and underlying surface to runoff changes are 61.5%, 11.4%, and 26.9%, respectively. (4) After 2005, the WRB has become more arid, human activities have become more active, vegetation coverage has increased, and the built-up land has increased significantly.

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Section: Discussionmentioning

confidence: 99%

Analysis of Runoff Variation Characteristics and Influencing Factors in the Wujiang River Basin in the Past 30 Years

Guo

Wang

2021

IJERPH

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“…Budyko (1974) recognized that both climate variability and landscape characteristics may contribute to the observed behavior. The prevailing interpretation of subsequently introduced catchment‐specific parameters (Wang et al., 2016) has motivated profound efforts to identify controlling landscape characteristics, including soil storage (Chen & Sivapalan, 2020; Donohue et al., 2012; Porporato et al., 2004), landscape morphology (Doulatyari et al., 2015), and land cover (Jaramillo et al., 2018; Li et al., 2020; S. Zhang et al., 2018).…”

Section: Introductionmentioning

confidence: 99%

Climatic Asynchrony and Hydrologic Inefficiency Explain the Global Pattern of Water Availability

Jawitz

Klammler

Reaver

2022

Geophysical Research Letters

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Terrestrial water resource availability is fundamentally governed by the partitioning of inputs (precipitation, 𝐴𝐴 𝐴𝐴 ) to outputs (evapotranspiration, 𝐴𝐴 𝐴𝐴 , and runoff, 𝐴𝐴 𝐴𝐴 ) based on atmospheric demand (potential evapotranspiration, 𝐴𝐴 𝐴𝐴0 )and changes in storage (Milly, 1994). Given the critical nature of 𝐴𝐴 𝐴𝐴 in determining the water available for humans and ecosystems (Best, 2019;Rodell et al., 2018), the importance of a mechanistic understanding of landscape water budget partitioning and associated uncertainties is paramount. The largest source of errors in closing water budgets is uncertainty in 𝐴𝐴 𝐴𝐴 (Koppa et al., 2021), and thus a wide array of approaches has been developed for the measurement and estimation of 𝐴𝐴 𝐴𝐴 (see reviews in Wang and Dickinson (2012) and McMahon et al. (2013)). The determinants of 𝐴𝐴 𝐴𝐴 are hydroclimatic (water supply, 𝐴𝐴 𝐴𝐴 , and energy demand, 𝐴𝐴 𝐴𝐴0 ) and ecological (transpiration from plants comprises between 50% and 70% of 𝐴𝐴 𝐴𝐴 ; Lian et al., 2018;Stoy et al., 2019). In idealized ecohydrologically efficient landscapes, where the natural vegetation has adapted to local climate variability (Hunt et al., 2021;Troch et al., 2009), 𝐴𝐴 𝐴𝐴 will be maximized to the limit of the minimum of supply or output capacity. However, in real landscapes 𝐴𝐴 𝐸𝐸 (where overbar indicates long-term temporal mean) is also generally below the input and capacity limits of 𝐴𝐴 𝑃𝑃 and 𝐴𝐴 𝐸𝐸0 (Budyko, 1974;Gentine et al., 2012;Reaver et al., 2022), indicating hydrologic inefficiency. Much work has sought to explain and predict the observed natural variability in hydrologic inefficiency. An especially influential approach, strongly supported by observational evidence, has been the framework popularized by Budyko (1974) in which 𝐴𝐴 𝐸𝐸 is described by semi-empirical functions of aridity index 𝐴𝐴 𝐴𝐴= 𝐸𝐸0∕𝑃𝑃 that are generally known as Budyko curves. For example, observations of 𝐴𝐴 𝐸𝐸 from large collections of catchments (Gentine Abstract The mechanisms underlying observed global patterns of partitioning precipitation ( 𝐴𝐴 𝐴𝐴 ) to evapotranspiration ( 𝐴𝐴 𝐴𝐴 ) and runoff ( 𝐴𝐴 𝐴𝐴 ) are controversially debated. We test the hypothesis that asynchrony between climatic water supply and demand is sufficient to explain spatio-temporal variability of water availability. We developed a simple analytical model for 𝐴𝐴 𝐴𝐴 that is determined by four dimensionless characteristics of intra-annual water supply and demand asynchrony. The analytical model, populated with gridded climate data, accurately predicted global runoff patterns within 2%-4% of independent estimates from global climate models, with spatial patterns closely correlated to observations ( 𝐴𝐴 𝐴𝐴 2 = 0.93). The supply-demand asynchrony hypothesis provides a physically based explanation for variability of water availability using easily measurable characteristics of climate. The model revealed widespread responsiveness of water budgets to changes in climate asynchrony in almost every global region. Furthermore, the analytical model using global averages ...

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Quantitatively mapping the research status and trends of vegetation responses to climate change with bibliometric analysis

Wen

Cui

et al. 2023

J Soils Sediments

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Purpose Vegetation is a typical sensitive indicator of climate change, and therefore provides theoretical and valuable information for addressing issues arising from climate change including improving soil ecosystem services. Exploring how vegetation responses to climate change has become one of major hotspots of research. However, few scholars have performed bibliometric analyses of this field. This study investigated the current research activities and the trend developments of vegetation responses to climate change. Materials and methods We conducted a quantitative bibliometric analysis of 2,310 publications on vegetation responses to climate change from 1991 to 2021 retrieved in the Web of Science Core Collection. The analysis comprised significant journals, disciplines, and scholars, as well as partnerships between countries and institutions, keyword co-occurrence and burst analysis. The bibliometric analysis tools, Histcite, Vosviewer, CiteSpace software, and R (Bibliometrix package), were applied. Results and discussion The related publications on vegetation responses to climate change had been increasing exponentially in the past 30 years and its total global cited score reached its peak in 2010. The USA and China were the leading countries, with the Chinese Academy of Sciences having the highest number of publications and citations. The scholars who had the most citations were Allen CD, Bresears DD, and Running SW. Six research clusters were generated by keywords co-occurrence analysis, including impact, response, CO2, growth, climate change, and vegetation. These clusters represented the current research topics that highlighted the responses of vegetation to climate change, the manifestation of its impact, and coping strategies. In future research on vegetation, the emphasis is expected to be placed on “human activities” and “N2O emission”. Conclusion This study has performed a comprehensive and systematic and quantitative analysis of the publications on the responses of vegetation to climate change. The results reveal the characteristics, development patterns, and research trends of studies on vegetation activity in response to climate change, which sheds new insights into understanding the relationship between soil and climate.

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Quantifying the Impacts of Climate Change and Vegetation Variation on Actual Evapotranspiration Based on the Budyko Hypothesis in North and South Panjiang Basin, China

Cited by 11 publications

References 55 publications

Analysis of Runoff Variation Characteristics and Influencing Factors in the Wujiang River Basin in the Past 30 Years

Analysis of Runoff Variation Characteristics and Influencing Factors in the Wujiang River Basin in the Past 30 Years

Climatic Asynchrony and Hydrologic Inefficiency Explain the Global Pattern of Water Availability

Quantitatively mapping the research status and trends of vegetation responses to climate change with bibliometric analysis

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