Long‐term trends in evapotranspiration and runoff over the drainage basins of the Gulf of Mexico during 1901–2008

[1] The Gulf of Mexico (GOM) is facing large pressures from environmental changes since the beginning of the last century. However, the magnitude and long-term trend of total water discharge to the GOM and the underlying processes are not well understood. In this study, the dynamic land ecosystem model (DLEM) has been improved and applied to investigate spatial and temporal variations of evapotranspiration (ET) and runoff (R) over drainage basins of the GOM during 1901–2008. Modeled ET and discharge were evaluated against upscaled data sets and gauge observations. Simulated results demonstrated a significant decrease in ET at a rate of 15 mm yr−1 century−1 and an insignificant trend in runoff/precipitation (R/P) and river discharge over the whole region during 1901–2008. However, the trends in estimated water fluxes show substantial spatial and temporal heterogeneities across the study region. Generally, in the west arid area, ET, R, and R/P decreased; while they increased in the eastern part of the study area during the last 108 years. In the recent 30 years, this region experienced a substantial decrease in R. Factorial simulation experiments indicate that climate change, particularly P, was the dominant factor controlling interannual variations of ET and R; while land use change had the same magnitude of effects on long-term trends in water fluxes as climate change did. To eliminate modeling uncertainties, high-resolution historical meteorological data sets and model parameterizations on anthropogenic effects, such as water use and dam constructions, should be developed.

[1]  H. Tian,et al.  Impacts of climatic and atmospheric changes on carbon dynamics in the Great Smoky Mountains National Park. , 2007, Environmental pollution.

[2]  Maosheng Zhao,et al.  Development of a global evapotranspiration algorithm based on MODIS and global meteorology data , 2007 .

[3]  R. DeFries,et al.  Land‐use change and hydrologic processes: a major focus for the future , 2004 .

[4]  P. Thornton,et al.  Ecosystem model spin-up: Estimating steady state conditions in a coupled terrestrial carbon and nitrogen cycle model , 2005 .

[5]  Johan Alexander Huisman,et al.  Analysing the effects of soil properties changes associated with land use changes on the simulated water balance: A comparison of three hydrological catchment models for scenario analysis , 2007 .

[6]  T. D. Mitchell,et al.  An improved method of constructing a database of monthly climate observations and associated high‐resolution grids , 2005 .

[7]  H. Tian,et al.  Effects of multiple environment stresses on evapotranspiration and runoff over eastern China , 2012 .

[8]  K. Trenberth,et al.  Hydroclimatic trends in the Mississippi river basin from 1948 to 2004 , 2007 .

[9]  H. Tian,et al.  Influence of ozone pollution and climate variability on net primary productivity and carbon storage in China's grassland ecosystems from 1961 to 2000. , 2007, Environmental pollution.

[10]  Shunlin Liang,et al.  Evidence for decadal variation in global terrestrial evapotranspiration between 1982 and 2002: 2. Results , 2010 .

[11]  A. Sahoo,et al.  Multisource estimation of long-term terrestrial water budget for major global river basins , 2012 .

[12]  H. Tian,et al.  Interactive comment on “ Spatial and temporal patterns of CH 4 and N 2 O fluxes in terrestrial ecosystems of North America during 1979 – 2008 : application of a global biogeochemistry model ” by H , 2022 .

[13]  G. Russell,et al.  Continental-Scale River Flow in Climate Models , 1994 .

[14]  Marcos Heil Costa,et al.  Water balance of the Amazon Basin: Dependence on vegetation cover and canopy conductance , 1997 .

[15]  D. Baldocchi,et al.  Global estimates of the land–atmosphere water flux based on monthly AVHRR and ISLSCP-II data, validated at 16 FLUXNET sites , 2008 .

[16]  S. Running,et al.  A general model of forest ecosystem processes for regional applications I. Hydrologic balance, canopy gas exchange and primary production processes , 1988 .

[17]  H. Tian,et al.  China's terrestrial carbon balance: Contributions from multiple global change factors , 2011 .

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

[19]  M. Coe,et al.  Land Use, Land Cover, and Climate Change Across the Mississippi Basin: Impacts on Selected Land and Water Resources , 2013 .

[20]  C. Kucharik,et al.  Impact of changing land use practices on nitrate export by the Mississippi River , 2004 .

[21]  Eric F. Wood,et al.  Global estimates of evapotranspiration for climate studies using multi-sensor remote sensing data: Evaluation of three process-based approaches , 2011 .

[22]  P. S. Eagleson,et al.  Land Surface Hydrology Parameterization for Atmospheric General Circulation models Including Subgrid Scale Spatial Variability , 1989 .

[23]  Paul C.D. Milly,et al.  Trends in evaporation and surface cooling in the Mississippi River Basin , 2001 .

[24]  Peter E. Thornton,et al.  The Partitioning of Evapotranspiration into Transpiration, Soil Evaporation, and Canopy Evaporation in a GCM: Impacts on Land–Atmosphere Interaction , 2007 .

[25]  T. Carter,et al.  Crop-climate models need an overhaul , 2011 .

[26]  Ge Sun,et al.  Model estimates of net primary productivity, evapotranspiration, and water use efficiency in the terrestrial ecosystems of the southern United States during 1895–2007 , 2010 .

[27]  L. S. Pereira,et al.  Crop evapotranspiration : guidelines for computing crop water requirements , 1998 .

[28]  O. Edenhofer,et al.  Mitigation from a cross-sectoral perspective , 2007 .

[29]  Hanqin Tian,et al.  China's land cover and land use change from 1700 to 2005: Estimations from high‐resolution satellite data and historical archives , 2010 .

[30]  Bruce A. McCarl,et al.  Trading Water for Carbon with Biological Carbon Sequestration , 2005, Science.

[31]  Xubin Zeng,et al.  Global Vegetation Root Distribution for Land Modeling , 2001 .

[32]  S. Seneviratne,et al.  Evaluation of global observations‐based evapotranspiration datasets and IPCC AR4 simulations , 2011 .

[33]  Keith E. Schilling,et al.  Effects of land cover on water table, soil moisture, evapotranspiration, and groundwater recharge: A Field observation and analysis , 2006 .

[34]  Shunlin Liang,et al.  Observational evidence on the effects of clouds and aerosols on net ecosystem exchange and evapotranspiration , 2008 .

[35]  Maosheng Zhao,et al.  Improvements to a MODIS global terrestrial evapotranspiration algorithm , 2011 .

[36]  S. Carpenter,et al.  Global Consequences of Land Use , 2005, Science.

[37]  Navin Ramankutty,et al.  Land cover change over the last three centuries due to human activities: The availability of new global data sets , 2004 .

[38]  Peter E. Thornton,et al.  Improvements to the Community Land Model and their impact on the hydrological cycle , 2008 .

[39]  Tian Hanqin The Dynamic Land Ecosystem Model (DLEM) for Simulating Terrestrial Processes and Interactions in the Context of Multifactor Global Change , 2010 .

[40]  Benjamin S. Felzer,et al.  Effects of tropospheric ozone pollution on net primary productivity and carbon storage in terrestrial ecosystems of China , 2007 .

[41]  R. B. Jackson,et al.  Water in a changing world , 2001 .

[42]  Zong-Liang Yang,et al.  Effects of Frozen Soil on Snowmelt Runoff and Soil Water Storage at a Continental Scale , 2006 .

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

[44]  N. Ramankutty,et al.  Farming the planet: 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000 , 2008 .

[45]  R. Dickinson,et al.  Evidence for decadal variation in global terrestrial evapotranspiration between 1982 and 2002: 1. Model development , 2010 .

[46]  David R. Maidment,et al.  Five‐minute, 1/2°, and 1° data sets of continental watersheds and river networks for use in regional and global hydrologic and climate system modeling studies , 1999 .

[47]  Attribution of spatial and temporal variations in terrestrial methane flux over North America , 2010 .

[48]  Weimin Ju,et al.  Distributed hydrological model for mapping evapotranspiration using remote sensing inputs , 2005 .

[49]  Wei-Jun Cai,et al.  Estuarine and coastal ocean carbon paradox: CO2 sinks or sites of terrestrial carbon incineration? , 2011, Annual review of marine science.

[50]  D. Lettenmaier,et al.  A Long-Term Hydrologically Based Dataset of Land Surface Fluxes and States for the Conterminous United States* , 2002 .

[51]  Obi Reddy P. Gangalakunta,et al.  Global irrigated area map (GIAM), derived from remote sensing, for the end of the last millennium , 2009 .

[52]  Praveen Kumar,et al.  Topographic Influence on the Seasonal and Interannual Variation of Water and Energy Balance of Basins in North America , 2001 .

[53]  N. Batjes ISRIC-WISE derived soil properties on a 5 by 5 arc-minutes global grid (ver. 1.2) , 2006 .

[54]  P. Ciais,et al.  Changes in climate and land use have a larger direct impact than rising CO2 on global river runoff trends , 2007, Proceedings of the National Academy of Sciences.

[55]  Jean-Luc Probst,et al.  Evidence for global runoff increase related to climate warming , 2004 .

[56]  T. Foken The energy balance closure problem: an overview. , 2008, Ecological applications : a publication of the Ecological Society of America.

[57]  Peter E. Thornton,et al.  The impact of climate, CO2, nitrogen deposition and land use change on simulated contemporary global river flow , 2011 .

[58]  J. Lenters,et al.  Modeling the impact of hydrological changes on nitrate transport in the Mississippi River Basin from 1955 to 1994 , 2002 .

[59]  S. McLaughlin,et al.  Interactive effects of ozone and climate on water use, soil moisture content and streamflow in a southern Appalachian forest in the USA. , 2007, The New phytologist.

[60]  Robert B. Jackson,et al.  Effects of afforestation on water yield: a global synthesis with implications for policy , 2005 .

[61]  R. Betts,et al.  Detection of a direct carbon dioxide effect in continental river runoff records , 2006, Nature.

[62]  R. Nemani,et al.  Global Distribution and Density of Constructed Impervious Surfaces , 2007, Sensors.

[63]  Peter E. Thornton,et al.  Technical Description of the Community Land Model (CLM) , 2004 .

[64]  B. Henderson-Sellers,et al.  A new formula for latent heat of vaporization of water as a function of temperature , 1984 .

[65]  M. Wigmosta,et al.  A distributed hydrology-vegetation model for complex terrain , 1994 .

[66]  Charles J Vörösmarty,et al.  Global River Discharge, 1807-1991, V[ersion]. 1.1 (RivDIS) , 1998 .

[67]  N. Ramankutty,et al.  Estimating historical changes in global land cover: Croplands from 1700 to 1992 , 1999 .

[68]  R. E. Turner,et al.  Linking Landscape and Water Quality in the Mississippi River Basin for 200 Years , 2003 .

[69]  Taotao Qian,et al.  Changes in Continental Freshwater Discharge from 1948 to 2004 , 2009 .

[70]  Michael T. Coe,et al.  Modeling terrestrial hydrological systems at the continental scale : Testing the accuracy of an atmospheric GCM , 2000 .

[71]  Vincent R. Gray Climate Change 2007: The Physical Science Basis Summary for Policymakers , 2007 .

[72]  P. Dirmeyer,et al.  Evaluation of the Second Global Soil Wetness Project soil moisture simulations: 2. Sensitivity to external meteorological forcing , 2006 .

[73]  Kung-Sik Chan,et al.  Quantifying the effect of land use land cover change on increasing discharge in the Upper Mississippi River , 2010 .

[74]  T. Huntington Evidence for intensification of the global water cycle: Review and synthesis , 2006 .

[75]  Zong-Liang Yang,et al.  Development of a simple groundwater model for use in climate models and evaluation with Gravity Recovery and Climate Experiment data , 2007 .

[76]  Eric F. Wood,et al.  Multi‐model, multi‐sensor estimates of global evapotranspiration: climatology, uncertainties and trends , 2011 .

[77]  W. Oechel,et al.  FLUXNET: A New Tool to Study the Temporal and Spatial Variability of Ecosystem-Scale Carbon Dioxide, Water Vapor, and Energy Flux Densities , 2001 .

[78]  Thomas Kätterer,et al.  Predicting daily soil temperature profiles in arable soils in cold temperate regions from air temperature and leaf area index , 2009 .

[79]  A. J. Dolman,et al.  The Pilot Phase of the Global Soil Wetness Project , 1999 .

[80]  N. Rabalais,et al.  Beyond Science into Policy: Gulf of Mexico Hypoxia and the Mississippi River , 2002 .

[81]  Peter K. Dunn,et al.  A daily rainfall disaggregation model , 1998 .

[82]  John A. Harrison,et al.  Sources and delivery of carbon, nitrogen, and phosphorus to the coastal zone: An overview of Global Nutrient Export from Watersheds (NEWS) models and their application , 2005 .

[83]  P. Döll,et al.  Development and validation of a global database of lakes, reservoirs and wetlands , 2004 .

[84]  Lu Zhang,et al.  Use of Remotely Sensed Actual Evapotranspiration to Improve Rainfall–Runoff Modeling in Southeast Australia , 2009 .

[85]  G. Campbell,et al.  An Introduction to Environmental Biophysics , 1977 .

[86]  A. Bondeau,et al.  Towards global empirical upscaling of FLUXNET eddy covariance observations: validation of a model tree ensemble approach using a biosphere model , 2009 .

[87]  S. Long,et al.  What have we learned from 15 years of free-air CO2 enrichment (FACE)? A meta-analytic review of the responses of photosynthesis, canopy properties and plant production to rising CO2. , 2004, The New phytologist.

[88]  Reinder A. Feddes,et al.  Simulation model of the water balance of a cropped soil: SWATRE , 1983 .

[89]  R. Latifovic,et al.  Land cover mapping of North and Central America—Global Land Cover 2000 , 2004 .

[90]  C. Vörösmarty,et al.  Anthropogenic Disturbance of the Terrestrial Water Cycle , 2000 .

[91]  Christopher B. Field,et al.  Biospheric Aspects of the Hydrological Cycle , 1998 .

[92]  Zong-Liang Yang,et al.  A simple TOPMODEL-based runoff parameterization (SIMTOP) for use in global climate models , 2005 .

[93]  Hanqin Tian,et al.  Effects of Land‐Use and Land‐Cover Change on Evapotranspiration and Water Yield in China During 1900‐2000 1 , 2008 .

[94]  David D. Parrish,et al.  NORTH AMERICAN REGIONAL REANALYSIS , 2006 .

[95]  H. Tian,et al.  Net exchanges of CO2, CH4, and N2O between China's terrestrial ecosystems and the atmosphere and their contributions to global climate warming , 2011 .

[96]  G. Hegerl,et al.  Detection of human influence on twentieth-century precipitation trends , 2007, Nature.

[97]  Vazken Andréassian,et al.  Waters and forests: from historical controversy to scientific debate [review article] , 2004 .

[98]  Joe Landsberg,et al.  Physiological ecology of forest production , 1986 .

[99]  J. Hewlett,et al.  A REVIEW OF CATCHMENT EXPERIMENTS TO DETERMINE THE EFFECT OF VEGETATION CHANGES ON WATER YIELD AND EVAPOTRANSPIRATION , 1982 .

[100]  S. Running,et al.  A continuous satellite‐derived global record of land surface evapotranspiration from 1983 to 2006 , 2010 .

[101]  G. Sun,et al.  Regional annual water yield from forest lands and its response to potential deforestation across the southeastern United States , 2005 .