Future Climate Impact on the Desertification in the Dry Land Asia Using AVHRR GIMMS NDVI3g Data

Dry Land Asia is the largest arid and semi-arid region in the northern hemisphere that suffers from land desertification. Over the period 1982–2011, there were both overall improvement and regional degeneration in the vegetation NDVI. We analyze future climate changes in these area using two ensemble-average methods from CMIP5 data. Bayesian Model Averaging shows a better capability to represent the future climate and less uncertainty represented by the 22-model ensemble than does the Simple Model Average. From 2006 to 2100, the average growing season temperature value will increase by 2.9 °C, from 14.4 °C to 17.3 °C under three climate scenarios (RCP 26, RCP 45 and RCP 85). We then conduct multiple regression analysis between climate changes compiled from the Climate Research Unit database and vegetation greenness from the GIMMS NDVI3g dataset. There is a general acceleration in the desertification trend under the RCP 85 scenario in middle and northern part of Middle Asia, northwestern China except Xinjiang and the Mongolian Plateau (except the middle part). The RCP 85 scenario shows a more severe desertification trend than does RCP 26. Desertification in dry land Asia, particularly in the regions highlighted in this study, calls for further investigation into climate change impacts and adaptations.

[1]  C. Tucker,et al.  Comments on the use of the Vegetation Health Index over Mongolia , 2006 .

[2]  M. Mortimore,et al.  A new paradigm for people, ecosystems and development , 2009 .

[3]  R. J. Thomas,et al.  Opportunities to reduce the vulnerability of dryland farmers in Central and West Asia and North Africa to climate change , 2008 .

[4]  T. Downing,et al.  Global Desertification: Building a Science for Dryland Development , 2007, Science.

[5]  Qiang Liu,et al.  Analysis of the Phenology in the Mongolian Plateau by Inter-Comparison of Global Vegetation Datasets , 2013, Remote. Sens..

[6]  R. Lunetta,et al.  Land-cover change detection using multi-temporal MODIS NDVI data , 2006 .

[7]  Ranga B. Myneni,et al.  Assessing Performance of NDVI and NDVI3g in Monitoring Leaf Unfolding Dates of the Deciduous Broadleaf Forest in Northern China , 2013, Remote. Sens..

[8]  A. Raftery,et al.  Using Bayesian Model Averaging to Calibrate Forecast Ensembles , 2005 .

[9]  S. Seneviratne,et al.  Global assessment of trends in wetting and drying over land , 2014 .

[10]  Kazuhito Ichii,et al.  Global monitoring of interannual changes in vegetation activities using NDVI and its relationships to temperature and precipitation , 2001 .

[11]  Q. Fu,et al.  Expansion of global drylands under a warming climate , 2013 .

[12]  Ci Long,et al.  THE POTENTIAL IMPACTS OF CLIMATE CHANGE SCENARIOS ON DESERTIFICATION IN CHINA , 2002 .

[13]  Jiaguo Qi,et al.  Understanding the coupled natural and human systems in Dryland East Asia , 2012 .

[14]  B. Sohn,et al.  Recent trends in changes of vegetation over East Asia coupled with temperature and rainfall variations , 2010 .

[15]  Martha C. Anderson,et al.  Use of NDVI and Land Surface Temperature for Drought Assessment: Merits and Limitations , 2010 .

[16]  Nan Jiang,et al.  A Comparative Analysis between GIMSS NDVIg and NDVI3g for Monitoring Vegetation Activity Change in the Northern Hemisphere during 1982-2008 , 2013, Remote. Sens..

[17]  Kevin P. Price,et al.  Spatial patterns of NDVI in response to precipitation and temperature in the central Great Plains , 2001 .

[18]  Ranga B. Myneni,et al.  Precipitation patterns alter growth of temperate vegetation , 2005 .

[19]  Lijuan Miao,et al.  Vegetation dynamics and factor analysis in arid and semi-arid Inner Mongolia , 2015, Environmental Earth Sciences.

[20]  M. Sivakumar,et al.  Interactions between climate and desertification , 2007 .

[21]  Steven W. Running,et al.  Comparison of Gross Primary Productivity Derived from GIMMS NDVI3g, GIMMS, and MODIS in Southeast Asia , 2014, Remote. Sens..

[22]  Q. Duan,et al.  Assessment of CMIP5 climate models and projected temperature changes over Northern Eurasia , 2014 .

[23]  Martin Kappas,et al.  Inter-Annual Changes in Vegetation Activities and Their Relationship to Temperature and Precipitation in Central Asia from 1982 to 2003 , 2008 .

[24]  C. Tucker,et al.  Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981 to 1999 , 2001 .

[25]  Bodo Ahrens,et al.  On the Weighting of Multimodel Ensembles in Seasonal and Short-Range Weather Forecasting , 2009 .

[26]  C. Tucker,et al.  Recent trends in vegetation dynamics in the African Sahel and their relationship to climate , 2005 .

[27]  Corinne Le Quéré,et al.  Climate Change 2013: The Physical Science Basis , 2013 .

[28]  Ulf Helldén,et al.  Desertification - time for an assessment? , 1991 .

[29]  K. Taylor Summarizing multiple aspects of model performance in a single diagram , 2001 .

[30]  Ranga B. Myneni,et al.  Drought and spring cooling induced recent decrease in vegetation growth in Inner Asia , 2013 .

[31]  G. Henebry,et al.  Climate and environmental change in arid Central Asia: impacts, vulnerability, and adaptations. , 2009 .

[32]  Jianping Huang,et al.  Enhanced cold-season warming in semi-arid regions , 2012 .

[33]  Philippe Ciais,et al.  Evidence for a weakening relationship between interannual temperature variability and northern vegetation activity , 2014, Nature Communications.