Sensitivity of terrestrial water and carbon fluxes to climate variability in semi-humid basins of Haihe River, China

作者: X. Mo , S. Liu , S. Hu , J. Xia , Y. Shen

DOI: 10.1016/J.ECOLMODEL.2016.09.003

关键词:

摘要: Abstract Inter-annual climate variability dominates the evolution of eco-hydrological processes over water limited basins. Haihe Basin in semi-humid northern China is under significant change and serious human disturbance during recent decades. Integrated with NASA Terra-Modis remote sensing LAI data products, VIP model used to predict spatiotemporal variations evapotranspiration (ET) vegetation gross primary production (GPP) two catchments River branches from 2000 2013. Along precipitation increasing, average annual ET GPP are significantly increasing. The trends more distinct mountainous upstream areas. inter-annual highly correlated 12-month SPI (Standardized Precipitation Index), while monthly related clearly 3-month SPI. Sensitivity analysis shows that there remarkable differences elasticity coefficients both climatic factors. It found precipitation, solar radiation leaf area index most sensitive factors study basin. results helpful understand catchment mechanisms their responses change.

参考文章(49)
Wei Feng, Min Zhong, Jean-Michel Lemoine, Richard Biancale, Hou-Tse Hsu, Jun Xia, Evaluation of groundwater depletion in North China using the Gravity Recovery and Climate Experiment (GRACE) data and ground-based measurements Water Resources Research. ,vol. 49, pp. 2110- 2118 ,(2013) , 10.1002/WRCR.20192
Giovanni Forzieri, Luc Feyen, Alessandro Cescatti, Enrique R. Vivoni, Spatial and temporal variations in ecosystem response to monsoon precipitation variability in southwestern North America Journal of Geophysical Research. ,vol. 119, pp. 1999- 2017 ,(2014) , 10.1002/2014JG002710
Wenwen Cai, Wenping Yuan, Shunlin Liang, Xiaotong Zhang, Wenjie Dong, Jiangzhou Xia, Yang Fu, Yang Chen, Dan Liu, Qiang Zhang, Improved estimations of gross primary production using satellite‐derived photosynthetically active radiation Journal of Geophysical Research. ,vol. 119, pp. 110- 123 ,(2014) , 10.1002/2013JG002456
THOMAS N. BUCKLEY, KEITH A. MOTT, Modelling stomatal conductance in response to environmental factors Plant Cell and Environment. ,vol. 36, pp. 1691- 1699 ,(2013) , 10.1111/PCE.12140
Xingguo Mo, Suxia Liu, Dejuan Meng, Zhonghui Lin, Exploring the interannual and spatial variations of ET and GPP with climate by a physical model and remote sensing data in a large basin of Northeast China International Journal of Climatology. ,vol. 34, pp. 1945- 1963 ,(2014) , 10.1002/JOC.3813
Xingguo Mo, Ruiping Guo, Suxia Liu, Zhonghui Lin, Shi Hu, Impacts of climate change on crop evapotranspiration with ensemble GCM projections in the North China Plain Climatic Change. ,vol. 120, pp. 299- 312 ,(2013) , 10.1007/S10584-013-0823-3
Aaron Polhamus, Joshua B. Fisher, Kevin P. Tu, What controls the error structure in evapotranspiration models Agricultural and Forest Meteorology. ,vol. 169, pp. 12- 24 ,(2013) , 10.1016/J.AGRFORMET.2012.10.002
Y Liu, Y Zhou, W Ju, J Chen, S Wang, H He, H Wang, D Guan, F Zhao, Y Li, Y Hao, None, Evapotranspiration and water yield over China's landmass from 2000 to 2010 Hydrology and Earth System Sciences. ,vol. 17, pp. 4957- 4980 ,(2013) , 10.5194/HESS-17-4957-2013
Qiaozhen Mu, Maosheng Zhao, Steven W. Running, Improvements to a MODIS global terrestrial evapotranspiration algorithm Remote Sensing of Environment. ,vol. 115, pp. 1781- 1800 ,(2011) , 10.1016/J.RSE.2011.02.019
Edward P. Glenn, Pamela L. Nagler, Alfredo R. Huete, Vegetation Index Methods for Estimating Evapotranspiration by Remote Sensing Surveys in Geophysics. ,vol. 31, pp. 531- 555 ,(2010) , 10.1007/S10712-010-9102-2