Insights for empirically modeling evapotranspiration influenced by riparian and upland vegetation in semiarid regions

D. P. Bunting, Shirley Papuga, E. P. Glenn, P. L. Nagler, R. L. Scott

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Water resource managers aim to ensure long-term water supplies for increasing human populations. Evapotranspiration (ET) is a key component of the water balance and accurate estimates are important to quantify safe allocations to humans while supporting environmental needs. Scaling up ET measurements from small spatial scales has been problematic due to spatiotemporal variability. Remote sensing products provide spatially distributed data that account for seasonal climate and vegetation variability. We used MODIS products [i.e., Enhanced Vegetation Index (EVI) and nighttime land surface temperatures (LSTn)] to create empirical ET models calibrated using measured ET from three riparian-influenced and two upland, water-limited flux tower sites. Results showed that combining all sites introduced systematic bias, so we developed separate models to estimate riparian and upland ET. While EVI and LSTn were the main drivers for ET in riparian sites, precipitation replaced LSTn as the secondary driver of ET in upland sites. Riparian ET was successfully modeled using an inverse exponential approach (r2=0.92) while upland ET was adequately modeled using a multiple linear regression approach (r2=0.77). These models can be used in combination to estimate ET at basin scales provided each region is classified and precipitation data is available.

Original languageEnglish (US)
Pages (from-to)42-52
Number of pages11
JournalJournal of Arid Environments
Volume111
DOIs
StatePublished - 2014

Fingerprint

semiarid region
evapotranspiration
highlands
vegetation
modeling
vegetation index
moderate resolution imaging spectroradiometer
riparian areas
water balance
human population
water resources
water supply
MODIS
surface temperature
remote sensing
water budget
land surface
managers
water resource
basins

Keywords

  • Eddy covariance
  • EVI
  • Land surface temperature
  • MODIS
  • NDVI
  • Remote sensing

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Earth-Surface Processes
  • Ecology

Cite this

Insights for empirically modeling evapotranspiration influenced by riparian and upland vegetation in semiarid regions. / Bunting, D. P.; Papuga, Shirley; Glenn, E. P.; Nagler, P. L.; Scott, R. L.

In: Journal of Arid Environments, Vol. 111, 2014, p. 42-52.

Research output: Contribution to journalArticle

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