Evapotranspiration comparisons between eddy covariance measurements and meteorological and remote-sensing-based models in disturbed ponderosa pine forests
Evapotranspiration (ET) comprises a major portion of the water budget in forests, yet few studies have measured or estimated ET in semi‐arid, high‐elevation ponderosa pine forests of the south‐western USA or have investigated the capacity of models to predict ET in disturbed forests. We measured act...
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| Published in: | Ecohydrology Vol. 8; no. 7; pp. 1335 - 1350 |
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| Abstract | Evapotranspiration (ET) comprises a major portion of the water budget in forests, yet few studies have measured or estimated ET in semi‐arid, high‐elevation ponderosa pine forests of the south‐western USA or have investigated the capacity of models to predict ET in disturbed forests. We measured actual ET with the eddy covariance (eddy) method over 4 years in three ponderosa pine forests near Flagstaff, Arizona, that differ in disturbance history (undisturbed control, wildfire burned, and restoration thinning) and compared these measurements (415–510 mm year−1 on average) with actual ET estimated from five meteorological models [Penman–Monteith (P‐M), P‐M with dynamic control of stomatal resistance (P‐M‐d), Priestley–Taylor (P‐T), McNaughton–Black (M‐B), and Shuttleworth–Wallace (S‐W)] and from the Moderate Resolution Imaging Spectroradiometer (MODIS) ET product. The meteorological models with constant stomatal resistance (P‐M, M‐B, and S‐W) provided the most accurate estimates of annual eddy ET (average percent differences ranged between 11 and −14%), but their accuracy varied across sites. The P‐M‐d consistently underpredicted ET at all sites. The more simplistic P‐T model performed well at the control site (18% overprediction) but strongly overpredicted annual eddy ET at the restoration sites (92%) and underpredicted at the fire site (−26%). The MODIS ET underpredicted annual eddy ET at all sites by at least 51% primarily because of underestimation of leaf area index. Overall, we conclude that with accurate parameterization, micrometeorological models can predict ET within 30% in forests of the south‐western USA and that remote sensing‐based ET estimates need to be improved through use of higher resolution products. Copyright © 2014 John Wiley & Sons, Ltd. |
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| AbstractList | Evapotranspiration (ET) comprises a major portion of the water budget in forests, yet few studies have measured or estimated ET in semi‐arid, high‐elevation ponderosa pine forests of the south‐western USA or have investigated the capacity of models to predict ET in disturbed forests. We measured actual ET with the eddy covariance (eddy) method over 4 years in three ponderosa pine forests near Flagstaff, Arizona, that differ in disturbance history (undisturbed control, wildfire burned, and restoration thinning) and compared these measurements (415–510 mm year
−1
on average) with actual ET estimated from five meteorological models [Penman–Monteith (P‐M), P‐M with dynamic control of stomatal resistance (P‐M‐d), Priestley–Taylor (P‐T), McNaughton–Black (M‐B), and Shuttleworth–Wallace (S‐W)] and from the Moderate Resolution Imaging Spectroradiometer (MODIS) ET product. The meteorological models with constant stomatal resistance (P‐M, M‐B, and S‐W) provided the most accurate estimates of annual eddy ET (average percent differences ranged between 11 and −14%), but their accuracy varied across sites. The P‐M‐d consistently underpredicted ET at all sites. The more simplistic P‐T model performed well at the control site (18% overprediction) but strongly overpredicted annual eddy ET at the restoration sites (92%) and underpredicted at the fire site (−26%). The MODIS ET underpredicted annual eddy ET at all sites by at least 51% primarily because of underestimation of leaf area index. Overall, we conclude that with accurate parameterization, micrometeorological models can predict ET within 30% in forests of the south‐western USA and that remote sensing‐based ET estimates need to be improved through use of higher resolution products. Copyright © 2014 John Wiley & Sons, Ltd. Evapotranspiration (ET) comprises a major portion of the water budget in forests, yet few studies have measured or estimated ET in semi‐arid, high‐elevation ponderosa pine forests of the south‐western USA or have investigated the capacity of models to predict ET in disturbed forests. We measured actual ET with the eddy covariance (eddy) method over 4 years in three ponderosa pine forests near Flagstaff, Arizona, that differ in disturbance history (undisturbed control, wildfire burned, and restoration thinning) and compared these measurements (415–510 mm year−1 on average) with actual ET estimated from five meteorological models [Penman–Monteith (P‐M), P‐M with dynamic control of stomatal resistance (P‐M‐d), Priestley–Taylor (P‐T), McNaughton–Black (M‐B), and Shuttleworth–Wallace (S‐W)] and from the Moderate Resolution Imaging Spectroradiometer (MODIS) ET product. The meteorological models with constant stomatal resistance (P‐M, M‐B, and S‐W) provided the most accurate estimates of annual eddy ET (average percent differences ranged between 11 and −14%), but their accuracy varied across sites. The P‐M‐d consistently underpredicted ET at all sites. The more simplistic P‐T model performed well at the control site (18% overprediction) but strongly overpredicted annual eddy ET at the restoration sites (92%) and underpredicted at the fire site (−26%). The MODIS ET underpredicted annual eddy ET at all sites by at least 51% primarily because of underestimation of leaf area index. Overall, we conclude that with accurate parameterization, micrometeorological models can predict ET within 30% in forests of the south‐western USA and that remote sensing‐based ET estimates need to be improved through use of higher resolution products. Copyright © 2014 John Wiley & Sons, Ltd. Evapotranspiration (ET) comprises a major portion of the water budget in forests, yet few studies have measured or estimated ET in semi-arid, high-elevation ponderosa pine forests of the south-western USA or have investigated the capacity of models to predict ET in disturbed forests. We measured actual ET with the eddy covariance (eddy) method over 4years in three ponderosa pine forests near Flagstaff, Arizona, that differ in disturbance history (undisturbed control, wildfire burned, and restoration thinning) and compared these measurements (415-510mmyear-1 on average) with actual ET estimated from five meteorological models [Penman-Monteith (P-M), P-M with dynamic control of stomatal resistance (P-M-d), Priestley-Taylor (P-T), McNaughton-Black (M-B), and Shuttleworth-Wallace (S-W)] and from the Moderate Resolution Imaging Spectroradiometer (MODIS) ET product. The meteorological models with constant stomatal resistance (P-M, M-B, and S-W) provided the most accurate estimates of annual eddy ET (average percent differences ranged between 11 and -14%), but their accuracy varied across sites. The P-M-d consistently underpredicted ET at all sites. The more simplistic P-T model performed well at the control site (18% overprediction) but strongly overpredicted annual eddy ET at the restoration sites (92%) and underpredicted at the fire site (-26%). The MODIS ET underpredicted annual eddy ET at all sites by at least 51% primarily because of underestimation of leaf area index. Overall, we conclude that with accurate parameterization, micrometeorological models can predict ET within 30% in forests of the south-western USA and that remote sensing-based ET estimates need to be improved through use of higher resolution products. Copyright © 2014 John Wiley & Sons, Ltd. Evapotranspiration (ET) comprises a major portion of the water budget in forests, yet few studies have measured or estimated ET in semi-arid, high-elevation ponderosa pine forests of the south-western USA or have investigated the capacity of models to predict ET in disturbed forests. We measured actual ET with the eddy covariance (eddy) method over 4years in three ponderosa pine forests near Flagstaff, Arizona, that differ in disturbance history (undisturbed control, wildfire burned, and restoration thinning) and compared these measurements (415-510mmyear super(-1) on average) with actual ET estimated from five meteorological models [Penman-Monteith (P-M), P-M with dynamic control of stomatal resistance (P-M-d), Priestley-Taylor (P-T), McNaughton-Black (M-B), and Shuttleworth-Wallace (S-W)] and from the Moderate Resolution Imaging Spectroradiometer (MODIS) ET product. The meteorological models with constant stomatal resistance (P-M, M-B, and S-W) provided the most accurate estimates of annual eddy ET (average percent differences ranged between 11 and -14%), but their accuracy varied across sites. The P-M-d consistently underpredicted ET at all sites. The more simplistic P-T model performed well at the control site (18% overprediction) but strongly overpredicted annual eddy ET at the restoration sites (92%) and underpredicted at the fire site (-26%). The MODIS ET underpredicted annual eddy ET at all sites by at least 51% primarily because of underestimation of leaf area index. Overall, we conclude that with accurate parameterization, micrometeorological models can predict ET within 30% in forests of the south-western USA and that remote sensing-based ET estimates need to be improved through use of higher resolution products. |
| Author | Kolb, Thomas E. Masek Lopez, Sharon Koch, George W. Dore, Sabina Ha, Wonsook O'Donnell, Frances C. Martinez Morales, Rodolfo Springer, Abraham E. |
| Author_xml | – sequence: 1 givenname: Wonsook surname: Ha fullname: Ha, Wonsook organization: School of Earth Sciences and Environmental Sustainability, Northern Arizona University, AZ, Flagstaff, USA – sequence: 2 givenname: Thomas E. surname: Kolb fullname: Kolb, Thomas E. organization: School of Forestry, Northern Arizona University, Flagstaff, AZ, USA – sequence: 3 givenname: Abraham E. surname: Springer fullname: Springer, Abraham E. email: Correspondence to: Abraham E. Springer, School of Earth Sciences and Environmental Sustainability, Northern Arizona University, Flagstaff, AZ 86011, USA., Abe.Springer@nau.edu organization: School of Earth Sciences and Environmental Sustainability, Northern Arizona University, AZ, Flagstaff, USA – sequence: 4 givenname: Sabina surname: Dore fullname: Dore, Sabina organization: Department of Environmental Science, Policy, and Management, University of California at Berkeley, CA, Berkeley, USA – sequence: 5 givenname: Frances C. surname: O'Donnell fullname: O'Donnell, Frances C. organization: School of Earth Sciences and Environmental Sustainability, Northern Arizona University, AZ, Flagstaff, USA – sequence: 6 givenname: Rodolfo surname: Martinez Morales fullname: Martinez Morales, Rodolfo organization: Department of Biological Sciences, Northern Arizona University, AZ, Flagstaff, USA – sequence: 7 givenname: Sharon surname: Masek Lopez fullname: Masek Lopez, Sharon organization: School of Earth Sciences and Environmental Sustainability, Northern Arizona University, AZ, Flagstaff, USA – sequence: 8 givenname: George W. surname: Koch fullname: Koch, George W. organization: Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA |
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| Snippet | Evapotranspiration (ET) comprises a major portion of the water budget in forests, yet few studies have measured or estimated ET in semi‐arid, high‐elevation... Evapotranspiration (ET) comprises a major portion of the water budget in forests, yet few studies have measured or estimated ET in semi-arid, high-elevation... |
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| SubjectTerms | eddy covariance evapotranspiration forest ecosystems latent heat Marine Moderate Resolution Imaging Spectroradiometer (MODIS) Pinus ponderosa ponderosa pine |
| Title | Evapotranspiration comparisons between eddy covariance measurements and meteorological and remote-sensing-based models in disturbed ponderosa pine forests |
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