EVAPOTRANSPIRATION OF TWO DIFFERENT FORESTS

Abstract. A reliable estimate of potential evapotranspiration (PET) for a forest ecosystem is critical in ecohydrologic modeling related with water supply, vegetation dynamics, and climate change and yet is a challenging task due to its complexity. Based on long-term on-site measured hydro-climatic data and predictions from earlier validated hydrologic modeling studies, this study compared different methods for estimating monthly and annual potential evapotranspiration (PET) for two Atlantic coastal plain forests. One study site is a naturally drained mature pine mixed hardwood forest in South Carolina (SC), and the other site is a drained pine plantation forest in North Carolina (NC). The Hargreaves-Samani (HS) method was used for estimating grass PET for the SC site, while the Penman-Monteith (PM) method was used for calculating a standard grass reference (REF-ET) and simulating forest PET for the NC site. Daily HS-grass PET was used as an input in the Thornthwaite water balance (WBA) model, which was validated with long-term monthly streamflow to obtain simulated ET for the 1946-2008 period at the SC site. A process-based field-scale model, DRAINMOD-FOREST, was used for quantifying ET for the 1988-2008 period for the NC site by using REF-ET and forest PET as inputs separately. The monthly ET/PET ratios were further calculated for both sites. The long-term mean annual HS-grass PET was 1137 (±69) mm at the SC site. HS-grass PET for a recent four-year (2011-2014) period was 11% higher than the forest PET obtained by the PM method using above-canopy microclimate data and canopy resistance parameters. The long-term annual ET/HS PET varied from 0.76 to 1.0, with an average of 0.92. Annual PM-forest PET simulated using the validated DRAINMOD-FOREST model at the NC site varied from 1014 to 1335 mm with a long-term mean of 1146 ±87 mm, which is about 13% higher than the REF-ET (1010 ±123 mm) at the NC site but very similar to the values obtained for the HS-grass PET for the SC site. The estimated annual ET/PM-forest PET ratios varied from 0.81 to 0.97, with an average of 0.90. We also found similar seasonal values and variations of ET/HS PET at the SC site and ET/PM PET at the NC site, both of which were largely different from the ET/REF-ET values and their seasonal distribution reported for another pine forest site (Parker Tract) in coastal NC with eddy flux-based measurements of ET. Results from this study showed large difference of PET estimations by using different methods, particularly for the grass and forest reference. This study also highlighted the importance of properly defining and estimating forest PET, rather than using the standard REF-ET, and related mean monthly ET/PET ratios for estimating ET for a forest reference in forest hydrologic models and water balance studies.

[1]  Yan Zhang,et al.  A general predictive model for estimating monthly ecosystem evapotranspiration , 2011 .

[2]  G. Sun,et al.  Forests, Land Use Change, and Water , 2015 .

[3]  Devendra M. Amatya,et al.  Predicting dissolved organic nitrogen export from a drained loblolly pine plantation , 2013 .

[4]  C. R. Lloyd,et al.  Estimating sparse forest rainfall interception with an analytical model , 1995 .

[5]  A. Sepaskhah,et al.  Evaluation of the adjusted Thornthwaite and Hargreaves-Samani methods for estimation of daily evapotranspiration in a semi-arid region of Iran , 2009 .

[6]  Devendra M. Amatya,et al.  Quantifying watershed surface depression storage: determination and application in a hydrologic model , 2013 .

[7]  Devendra M. Amatya,et al.  Comparison of methods for estimating REF-ET , 1995 .

[8]  R. W. Skaggs,et al.  Energy and water balance of two contrasting loblolly pine plantations on the lower coastal plain of North Carolina, USA , 2010 .

[9]  C. W. Thornthwaite An approach toward a rational classification of climate. , 1948 .

[10]  D. Richter,et al.  Prescribed Fire: Effects on Water Quality and Forest Nutrient Cycling , 1982, Science.

[11]  Julia A. Jones,et al.  Changing forest water yields in response to climate warming: results from long-term experimental watershed sites across North America , 2014, Global change biology.

[12]  George H. Hargreaves,et al.  Reference Crop Evapotranspiration from Temperature , 1985 .

[13]  C. Trettin,et al.  Development of watershed hydrologic research at Santee Experimental Forest, coastal South Carolina , 2007 .

[14]  Kyle R. Douglas-Mankin,et al.  Advances in Forest Hydrology: Challenges and Opportunities , 2011 .

[15]  R. W. Skaggs,et al.  THE NITROGEN SIMULATION MODEL, DRAINMOD-N II , 2005 .

[16]  C. Priestley,et al.  On the Assessment of Surface Heat Flux and Evaporation Using Large-Scale Parameters , 1972 .

[17]  Paul K. Barten,et al.  Land Use Effects on Streamflow and Water Quality in the Northeastern United States , 2007 .

[18]  B. Hurk,et al.  Wetland versus open water evaporation: An analysis and literature review , 2012 .

[19]  Sylvain Delzon,et al.  Age-related decline in stand water use: sap flow and transpiration in a pine forest chronosequence , 2005 .

[20]  Ge Sun,et al.  Upscaling key ecosystem functions across the conterminous United States by a water‐centric ecosystem model , 2011 .

[21]  D. Amatya,et al.  Effects of controlled drainage on the hydrology of drained pine plantations in the North Carolina coastal plain , 1996 .

[22]  Daran R. Rudnick,et al.  Evapotranspiration crop coefficients for mixed riparian plant community and transpiration crop coefficients for Common reed, Cottonwood and Peach-leaf willow in the Platte River Basin, Nebraska-USA , 2013 .

[23]  A. Noormets,et al.  Testing DRAINMOD-FOREST for predicting evapotranspiration in a mid-rotation pine plantation , 2015 .

[24]  C. Trettin,et al.  Hydrology and Water Budget for a Forested Atlantic Coastal Plain Watershed, South Carolina 1 , 2007 .

[25]  Carl C. Trettin,et al.  Hydrology and Water Quality of Two First Order Forested Watersheds in Coastal South Carolina , 2006 .

[26]  L. S. Pereira,et al.  Evapotranspiration information reporting: I. Factors governing measurement accuracy , 2011 .

[27]  R. W. Skaggs,et al.  A water management model for shallow water table soils , 1978 .

[28]  Carl C. Trettin,et al.  Effects of climate variability on forest hydrology and carbon sequestration on the Santee Experimental Forest in coastal South Carolina , 2013 .

[29]  M. Wiley,et al.  Estimating evapotranspiration and groundwater flow from water‐table fluctuations for a general wetland scenario , 2014 .

[30]  R. Evans,et al.  Characterization and evaluation of proposed hydrologic criteria for wetlands , 1994 .

[31]  M. Youssef Modeling Nitrogen Transport and Transformations in High Water Table Soils , 2004 .

[32]  Salah Er-Raki,et al.  Evapotranspiration components determined by stable isotope, sap flow and eddy covariance techniques , 2004 .

[33]  Ge Sun,et al.  A COMPARISON OF SIX POTENTIAL EVAPOTRANSPIRATION METHODS FOR REGIONAL USE IN THE SOUTHEASTERN UNITED STATES 1 , 2005 .

[34]  Charles A. Harrison,et al.  Comparison of Potential Evapotranspiration (PET) using Three Methods for a Grass Reference and a Natural Forest in Coastal Plain of South Carolina , 2014 .

[35]  C. Trettin,et al.  Synthesis of 10-years of Ecohydrologic studies on Turkey Creek watershed , 2016 .

[36]  G. Flerchinger,et al.  A ten-year water balance of a mountainous semi-arid watershed computed by aggregating landscape units. , 2000 .

[37]  S Jeevanandareddy,et al.  Sensitivity of some potential evapotranspiration estimation methods to climate change , 1995 .

[38]  D. Baldocchi,et al.  Measuring fluxes of trace gases and energy between ecosystems and the atmosphere – the state and future of the eddy covariance method , 2014, Global change biology.

[39]  J. Monteith Evaporation and environment. , 1965, Symposia of the Society for Experimental Biology.

[40]  R. Skaggs Drainage Simulation Models , 2015 .

[41]  Dennis D. Baldocchi,et al.  A comparison of methods for determining forest evapotranspiration and its components: sap-flow, soil water budget, eddy covariance and catchment water balance , 2001 .

[42]  N. Jovanovic,et al.  Critical review of methods for the estimation of actual evapotranspiration in hydrological models , 2012 .

[43]  Ward E. Sanford,et al.  Estimation of Evapotranspiration Across the Conterminous United States Using a Regression With Climate and Land‐Cover Data 1 , 2013 .

[44]  R. W. Skaggs,et al.  Long-term hydrology and water quality of a drained pine plantation in North Carolina , 2011 .

[45]  Marvin E. Jensen,et al.  Evapotranspiration and irrigation water requirements : a manual , 1990 .

[46]  P. Ffolliott,et al.  Hydrologic effects of a changing forested landscape—challenges for the hydrological sciences , 2009 .

[47]  Jennifer M. Jacobs,et al.  A comparison of models for estimating potential evapotranspiration for Florida land cover types , 2009 .

[48]  Shiying Tian,et al.  DRAINMOD-FOREST: Integrated Modeling of Hydrology, Soil Carbon and Nitrogen Dynamics, and Plant Growth for Drained Forests. , 2012, Journal of environmental quality.

[49]  Vu Van Nghi,et al.  POTENTIAL EVAPOTRANSPIRATION ESTIMATION AND ITS EFFECT ON HYDROLOGICAL MODEL RESPONSE , 2012 .

[50]  Charles J Vörösmarty,et al.  Potential evaporation functions compared on US watersheds: Possible implications for global-scale water balance and terrestrial ecosystem modeling , 1998 .

[51]  Changsheng Li,et al.  Bi-criteria evaluation of the MIKE SHE model for a forested watershed on the South Carolina coastal plain , 2010 .

[52]  Devendra M. Amatya,et al.  Modeling water, carbon, and nitrogen dynamics for two drained pine plantations under intensive management practices , 2012 .

[53]  Nader Katerji,et al.  Crop Reference Evapotranspiration: A Discussion of the Concept, Analysis of the Process and Validation , 2011 .

[54]  Joshua B. Fisher,et al.  ET come home: potential evapotranspiration in geographical ecology , 2011 .

[55]  G. Sun,et al.  Can forest watershed management mitigate climate change effects on water resources , 2012 .

[56]  Devendra M. Amatya,et al.  Hydrologic Effects of Size and Location of Fields Converted from Drained Pine Forest to Agricultural Cropland , 2013 .

[57]  Ming Xu,et al.  Evapotranspiration models compared on a Sierra Nevada forest ecosystem , 2005, Environ. Model. Softw..

[58]  S. Seneviratne,et al.  Recent decline in the global land evapotranspiration trend due to limited moisture supply , 2010, Nature.

[59]  Jennifer J. Swenson,et al.  A Comparison of Three Methods to Estimate Evapotranspiration in Two Contrasting Loblolly Pine Plantations: Age-Related Changes in Water Use and Drought Sensitivity of Evapotranspiration Components , 2012 .

[60]  Devendra M. Amatya,et al.  Global sensitivity analysis of DRAINMOD‐FOREST, an integrated forest ecosystem model , 2014 .

[61]  Ge Sun,et al.  MODELING POTENTIAL EVAPOTRANSPIRATION OF TWO FORESTED WATERSHEDS IN THE SOUTHERN APPALACHIANS , 2011 .

[62]  G. Daily,et al.  Potential evapotranspiration from forest and pasture in the tropics: A case study in Kona, Hawai‘i , 2012 .

[63]  H. L. Penman Natural evaporation from open water, bare soil and grass , 1948, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.

[64]  C. Prudhomme,et al.  Derivation of RCM-driven potential evapotranspiration for hydrological climate change impact analysis in Great Britain: a comparison of methods and associated uncertainty in future projections , 2013 .

[65]  I. Lorite,et al.  Regional calibration of Hargreaves equation for estimating reference ET in a semiarid environment , 2006 .

[66]  Charles J Vörösmarty,et al.  Intercomparison of Methods for Calculating Potential Evaporation in Regional and Global Water Balance Models , 1996 .

[67]  Luis S. Pereira,et al.  FAO-56 Dual Crop Coefficient Method for Estimating Evaporation from Soil and Application Extensions , 2005 .