Factors controlling changes in evapotranspiration, runoff, and soil moisture over the conterminous U.S.: Accounting for vegetation dynamics.

Saved in:
Bibliographic Details
Title: Factors controlling changes in evapotranspiration, runoff, and soil moisture over the conterminous U.S.: Accounting for vegetation dynamics.
Authors: Liu, Mingliang1, Adam, Jennifer C.1 jcadam@wsu.edu, Richey, Alexandra S.1, Zhu, Zaichun1, Myneni, Ranga B.1
Source: Journal of Hydrology. Oct2018, Vol. 565, p123-137. 15p.
Subjects: Evapotranspiration, Runoff, Soil moisture, Streamflow, Vegetation dynamics
Abstract: Highlights • VIC performs well in simulating streamflow, ET, and soil moisture over the CONUS. • Precipitation controls variability but not necessarily trends of water fluxes. • Effect of LAI dynamics is significant during winter season and over certain regions. Abstract While remotely-sensed data reveal enhanced vegetation growth under a warming climate, how such vegetation dynamics could alter regional hydrology is not fully understood. In this study, we investigated how changes in leaf area index (LAI) and climatic variability alter long-term trends and seasonal variability of evapotranspiration (ET), runoff (R), and soil moisture (SM) over the conterminous United States (CONUS) during the period 1983–2009 by using the Variable Infiltration Capacity (VIC) model with transient remotely-sensed LAI inputs. Factor-controlled simulation experiments reveal that while precipitation is the dominant factor controlling long-term trends and inter-annual fluctuations of water fluxes, other factors (temperature, LAI , and atmospheric CO 2) make significant contributions to long-term trends, particularly over specific regions. Changes in LAI result in minor overall contributions to the inter-annual variability of ET , R , and SM over the CONUS as a whole; however, they do make a more significant contribution over certain regions, such as the Midwest. Furthermore, changing LAI is the second most important factor in controlling variability in ET and SM , particularly over the cool season. Anomalies of LAI during El Nino Southern Oscillation (ENSO) phases result in no significant correlations with anomalies in R and SM , but result in positive correlations with ET , indicating that vegetation dynamics can have a significant impact on the hydrologic cycle over continental scales. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Hydrology is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 131966180
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Factors controlling changes in evapotranspiration, runoff, and soil moisture over the conterminous U.S.: Accounting for vegetation dynamics.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Liu%2C+Mingliang%22">Liu, Mingliang</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Adam%2C+Jennifer+C%2E%22">Adam, Jennifer C.</searchLink><relatesTo>1</relatesTo><i> jcadam@wsu.edu</i><br /><searchLink fieldCode="AR" term="%22Richey%2C+Alexandra+S%2E%22">Richey, Alexandra S.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Zhu%2C+Zaichun%22">Zhu, Zaichun</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Myneni%2C+Ranga+B%2E%22">Myneni, Ranga B.</searchLink><relatesTo>1</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Journal+of+Hydrology%22">Journal of Hydrology</searchLink>. Oct2018, Vol. 565, p123-137. 15p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Evapotranspiration%22">Evapotranspiration</searchLink><br /><searchLink fieldCode="DE" term="%22Runoff%22">Runoff</searchLink><br /><searchLink fieldCode="DE" term="%22Soil+moisture%22">Soil moisture</searchLink><br /><searchLink fieldCode="DE" term="%22Streamflow%22">Streamflow</searchLink><br /><searchLink fieldCode="DE" term="%22Vegetation+dynamics%22">Vegetation dynamics</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Highlights • VIC performs well in simulating streamflow, ET, and soil moisture over the CONUS. • Precipitation controls variability but not necessarily trends of water fluxes. • Effect of LAI dynamics is significant during winter season and over certain regions. Abstract While remotely-sensed data reveal enhanced vegetation growth under a warming climate, how such vegetation dynamics could alter regional hydrology is not fully understood. In this study, we investigated how changes in leaf area index (LAI) and climatic variability alter long-term trends and seasonal variability of evapotranspiration (ET), runoff (R), and soil moisture (SM) over the conterminous United States (CONUS) during the period 1983–2009 by using the Variable Infiltration Capacity (VIC) model with transient remotely-sensed LAI inputs. Factor-controlled simulation experiments reveal that while precipitation is the dominant factor controlling long-term trends and inter-annual fluctuations of water fluxes, other factors (temperature, LAI , and atmospheric CO 2) make significant contributions to long-term trends, particularly over specific regions. Changes in LAI result in minor overall contributions to the inter-annual variability of ET , R , and SM over the CONUS as a whole; however, they do make a more significant contribution over certain regions, such as the Midwest. Furthermore, changing LAI is the second most important factor in controlling variability in ET and SM , particularly over the cool season. Anomalies of LAI during El Nino Southern Oscillation (ENSO) phases result in no significant correlations with anomalies in R and SM , but result in positive correlations with ET , indicating that vegetation dynamics can have a significant impact on the hydrologic cycle over continental scales. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Hydrology is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=131966180
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.jhydrol.2018.07.068
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 15
        StartPage: 123
    Subjects:
      – SubjectFull: Evapotranspiration
        Type: general
      – SubjectFull: Runoff
        Type: general
      – SubjectFull: Soil moisture
        Type: general
      – SubjectFull: Streamflow
        Type: general
      – SubjectFull: Vegetation dynamics
        Type: general
    Titles:
      – TitleFull: Factors controlling changes in evapotranspiration, runoff, and soil moisture over the conterminous U.S.: Accounting for vegetation dynamics.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Liu, Mingliang
      – PersonEntity:
          Name:
            NameFull: Adam, Jennifer C.
      – PersonEntity:
          Name:
            NameFull: Richey, Alexandra S.
      – PersonEntity:
          Name:
            NameFull: Zhu, Zaichun
      – PersonEntity:
          Name:
            NameFull: Myneni, Ranga B.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 10
              Text: Oct2018
              Type: published
              Y: 2018
          Identifiers:
            – Type: issn-print
              Value: 00221694
          Numbering:
            – Type: volume
              Value: 565
          Titles:
            – TitleFull: Journal of Hydrology
              Type: main
ResultId 1