Impacts of Deforestation and Climate Variability on Terrestrial Evapotranspiration in Subarctic China

Although deforestation affects hydrological and climatic variables over tropical regions, its actual contributions to changes in evapotranspiration (ET) over subarctic China remain unknown. To establish a quantitative relationship between deforestation and terrestrial ET variations, we estimated ET using a semi-empirical Penman (SEMI-PM) algorithm driven by meteorological and satellite data at both local and regional scales. The results indicate that the estimated ET can be used to analyse the observed inter-annual variations. There is a statistically significant positive relationship between local-scale forest cover changes (∆F) and annual ET variations (∆ET) of the following form: ∆ET = 0.0377∆F – 2.11 (R2 = 0.43, p < 0.05). This relationship may be due to deforestation-induced increases in surface albedo and a reduction in the fractional vegetation cover (FVC). However, the El Nino/Southern Oscillation (ENSO), rather than deforestation, dominates the multi-decadal ET variability due to regional-scale wind speed changes, but the exact effects of deforestation and ENSO on ET are challenging to quantify.

[1]  Liang Zhao,et al.  Spatial patterns and climate drivers of carbon fluxes in terrestrial ecosystems of China , 2013, Global change biology.

[2]  Zhuguo Ma,et al.  Comparison of satellite-based evapotranspiration models over terrestrial ecosystems in China , 2014 .

[3]  S. Goetz,et al.  Satellite based analysis of northern ET trends and associated changes in the regional water balance from 1983 to 2005 , 2008 .

[4]  T. Holmes,et al.  Global land-surface evaporation estimated from satellite-based observations , 2010 .

[5]  Manoel Cardoso,et al.  Regional climate change over eastern Amazonia caused by pasture and soybean cropland expansion , 2007 .

[6]  D. Medvigy,et al.  Simulated Changes in Northwest U.S. Climate in Response to Amazon Deforestation , 2013 .

[7]  P. Valdes,et al.  The effect of Amazonian deforestation on the northern hemisphere circulation and climate , 2000 .

[8]  S. Kanae,et al.  Impact of Deforestation on Regional Precipitation over the Indochina Peninsula , 2001 .

[9]  E. L. Skidmore,et al.  Potential Evapotranspiration as Influenced by Wind1 , 1969 .

[10]  Yan-sui Liu,et al.  Climate warming and land use change in Heilongjiang Province, Northeast China , 2011 .

[11]  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 .

[12]  Liming Zhou,et al.  Afforestation in China cools local land surface temperature , 2014, Proceedings of the National Academy of Sciences.

[13]  Shunlin Liang,et al.  Global Atmospheric Evaporative Demand over Land from 1973 to 2008 , 2012 .

[14]  Jinxi Wang,et al.  The influence of vegetation type on the hydrological process at the landscape scale , 2004 .

[15]  N. Verhoest,et al.  El Niño-La Niña cycle and recent trends in continental evaporation , 2014 .

[16]  Xiaotong Zhang,et al.  Review on Estimation of Land Surface Radiation and Energy Budgets From Ground Measurement, Remote Sensing and Model Simulations , 2010, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[17]  W. Oechel,et al.  Energy balance closure at FLUXNET sites , 2002 .

[18]  K. Caldeira,et al.  Combined climate and carbon-cycle effects of large-scale deforestation , 2006, Proceedings of the National Academy of Sciences.

[19]  S. Piao,et al.  Environmental determinants of tropical forest and savanna distribution: A quantitative model evaluation and its implication , 2014 .

[20]  Nannan Zhang,et al.  Validation and Application of the Modified Satellite-Based Priestley-Taylor Algorithm for Mapping Terrestrial Evapotranspiration , 2014, Remote. Sens..

[21]  Shunlin Liang,et al.  Surface radiative forcing of forest disturbances over northeastern China , 2014 .

[22]  S. Liang,et al.  MODIS-driven estimation of terrestrial latent heat flux in China based on a modified Priestley-Taylor algorithm , 2013 .

[23]  K. Wolter,et al.  El Niño/Southern Oscillation behaviour since 1871 as diagnosed in an extended multivariate ENSO index (MEI.ext) , 2011 .

[24]  T. A. Black,et al.  Observed increase in local cooling effect of deforestation at higher latitudes , 2011, Nature.

[25]  Christopher B. Field,et al.  Protecting climate with forests , 2008 .

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

[27]  S. Liang,et al.  Bayesian multimodel estimation of global terrestrial latent heat flux from eddy covariance, meteorological, and satellite observations , 2014 .

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

[29]  Ke Zhang,et al.  Impacts of large‐scale oscillations on pan‐Arctic terrestrial net primary production , 2007 .

[30]  R. Dickinson,et al.  A review of global terrestrial evapotranspiration: Observation, modeling, climatology, and climatic variability , 2011 .

[31]  X. Lee,et al.  Overview of ChinaFLUX and evaluation of its eddy covariance measurement , 2006 .

[32]  Kewei Yu,et al.  Effect of hydrological conditions on nitrous oxide, methane, and carbon dioxide dynamics in a bottomland hardwood forest and its implication for soil carbon sequestration , 2008 .

[33]  Jie He,et al.  On downward shortwave and longwave radiations over high altitude regions: Observation and modeling in the Tibetan Plateau , 2010 .

[34]  Yan-sui Liu,et al.  De(re)forestation and climate warming in subarctic China , 2012 .

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

[36]  Steven F. Oberbauer,et al.  The land–atmosphere water flux in the tropics , 2009 .

[37]  Shaohua Zhao,et al.  Satellite detection of increases in global land surface evapotranspiration during 1984–2007 , 2012, Int. J. Digit. Earth.

[38]  J. Townshend,et al.  A long-term Global LAnd Surface Satellite (GLASS) data-set for environmental studies , 2013 .

[39]  N. Mahowald,et al.  Global review and synthesis of trends in observed terrestrial near-surface wind speeds; implications for evaporation , 2012 .

[40]  Jie He,et al.  Improving land surface temperature modeling for dry land of China , 2011 .

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

[42]  K. Findell,et al.  Weak Simulated Extratropical Responses to Complete Tropical Deforestation , 2006 .

[43]  C. Tucker,et al.  Climate-Driven Increases in Global Terrestrial Net Primary Production from 1982 to 1999 , 2003, Science.

[44]  Philippe Ciais,et al.  A worldwide analysis of spatiotemporal changes in water balance‐based evapotranspiration from 1982 to 2009 , 2014 .

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

[46]  Xianhong Xie,et al.  Estimation of the terrestrial water budget over northern China by merging multiple datasets , 2014 .

[47]  T. Andrew Black,et al.  Impact of changing soil moisture distribution on net ecosystem productivity of a boreal aspen forest during and following drought , 2006 .

[48]  Seung Oh Lee,et al.  Validation of MODIS 16 global terrestrial evapotranspiration products in various climates and land cover types in Asia , 2012 .

[49]  Edwin W. Pak,et al.  An extended AVHRR 8‐km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data , 2005 .

[50]  E. Dutton,et al.  Do Satellites Detect Trends in Surface Solar Radiation? , 2004, Science.

[51]  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 .

[52]  Yaoming Ma,et al.  Application of the band‐pass covariance technique to portable flux measurements over the Tibetan Plateau , 2005 .

[53]  Roni Avissar,et al.  The local and global effects of Amazon deforestation , 2001 .

[54]  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 .

[55]  Hans Peter Schmid,et al.  Experimental design for flux measurements: matching scales of observations and fluxes , 1997 .

[56]  P. Jones,et al.  Global warming and changes in drought , 2014 .

[57]  Xiaomin Sun,et al.  Recent progress and future directions of ChinaFLUX , 2006 .

[58]  T. Peterson,et al.  Evaporation losing its strength , 1995, Nature.