Response of Natural Vegetation to Climate in Dryland Ecosystems: A Comparative Study between Xinjiang and Arizona

[1]  Lei Ji,et al.  Application-Ready Expedited MODIS Data for Operational Land Surface Monitoring of Vegetation Condition , 2015, Remote. Sens..

[2]  John L. Dwyer,et al.  Multi-platform comparisons of MODIS and AVHRR normalized difference vegetation index data , 2005 .

[3]  S. Myint,et al.  Environmental cooling provided by urban trees under extreme heat and cold waves in U.S. cities , 2019, Remote Sensing of Environment.

[4]  Jianping Huang,et al.  Dryland climate change: Recent progress and challenges , 2017 .

[5]  D. Gutzler,et al.  Climate variability and projected change in the western United States: regional downscaling and drought statistics , 2011 .

[6]  Youngwook Kim Drought and elevation effects on MODIS vegetation indices in northern Arizona ecosystems , 2013 .

[7]  Jianping Huang,et al.  Global semi-arid climate change over last 60 years , 2016, Climate Dynamics.

[8]  Vijay P. Singh,et al.  SPI-based evaluation of drought events in Xinjiang, China , 2012, Natural Hazards.

[9]  V. Kousky,et al.  Assessing objective techniques for gauge‐based analyses of global daily precipitation , 2008 .

[10]  Quan Wang,et al.  Response of vegetation to temperature and precipitation in Xinjiang during the period of 1998-2009 , 2011 .

[11]  C. Tucker,et al.  Analysis of Sahelian vegetation dynamics using NOAA-AVHRR NDVI data from 1981–2003 , 2005 .

[12]  Feng Yan,et al.  Spatiotemporal Variation of Vegetation on the Qinghai-Tibet Plateau and the Influence of Climatic Factors and Human Activities on Vegetation Trend (2000-2019) , 2020, Remote. Sens..

[13]  Shixin Wu,et al.  Analysis and prediction of vegetation dynamics under the background of climate change in Xinjiang, China , 2020, PeerJ.

[14]  Yang Liu,et al.  Response of vegetation NDVI to climatic extremes in the arid region of Central Asia: a case study in Xinjiang, China , 2018, Theoretical and Applied Climatology.

[15]  Atul K. Jain,et al.  The dominant role of semi-arid ecosystems in the trend and variability of the land CO2 sink , 2015, Science.

[16]  Mohamed Salem Nashwan,et al.  Symmetrical uncertainty and random forest for the evaluation of gridded precipitation and temperature data , 2019 .

[17]  K. J. Wessels,et al.  Relationship between herbaceous biomass and 1‐km2 Advanced Very High Resolution Radiometer (AVHRR) NDVI in Kruger National Park, South Africa , 2006 .

[18]  Peng Chen,et al.  Analysis on Changes of Basic Climatic Elements and Extreme Events in Xinjiang, China during 1961-2010: Analysis on Changes of Basic Climatic Elements and Extreme Events in Xinjiang, China during 1961-2010 , 2013 .

[19]  Chun Chen,et al.  Spatial and Temporal Changes in Vegetation Phenology at Middle and High Latitudes of the Northern Hemisphere over the Past Three Decades , 2015, Remote. Sens..

[20]  Fabio Castelli,et al.  Vegetation Dynamics within the North American Monsoon Region , 2011 .

[21]  B. Poulter,et al.  Detection and attribution of vegetation greening trend in China over the last 30 years , 2015, Global change biology.

[22]  Zhi-tao Wu,et al.  Quantifying influences of physiographic factors on temperate dryland vegetation, Northwest China , 2017, Scientific Reports.

[23]  C. Field,et al.  Relationships Between NDVI, Canopy Structure, and Photosynthesis in Three Californian Vegetation Types , 1995 .

[24]  Mohamed Salem Nashwan,et al.  Development of high-resolution daily gridded temperature datasets for the central north region of Egypt , 2019, Scientific Data.

[25]  J. Plescia,et al.  A review of the regional geophysics of the Arizona Transition Zone , 1991 .

[26]  Troy Sternberg,et al.  Climate hazards in drylands: A review , 2013 .

[27]  Zhi-hua Wang,et al.  Projecting population growth as a dynamic measure of regional urban warming , 2017 .

[28]  T. Zhou,et al.  Extreme High‐Temperature Events Over East Asia in 1.5°C and 2°C Warmer Futures: Analysis of NCAR CESM Low‐Warming Experiments , 2018 .

[29]  H. Liniger,et al.  Trend analysis of MODIS NDVI time series for detecting land degradation and regeneration in Mongolia , 2015 .

[30]  M. Dubey,et al.  Observed and Projected Precipitation Changes over the Nine US Climate Regions , 2017 .

[31]  E. Kang,et al.  Recent and Future Climate Change in Northwest China , 2007 .

[32]  Jingyun Fang,et al.  Changing climate affects vegetation growth in the arid region of the northwestern China , 2011 .

[33]  Shunlin Liang,et al.  Vegetation dynamics and responses to recent climate change in Xinjiang using leaf area index as an indicator , 2015 .

[34]  Jonas Ardö,et al.  Exploring the potential of MODIS EVI for modeling gross primary production across African ecosystems , 2011 .

[35]  P. Ciais,et al.  Spring temperature change and its implication in the change of vegetation growth in North America from 1982 to 2006 , 2011, Proceedings of the National Academy of Sciences.

[36]  Fiona Cawkwell,et al.  Status of Phenological Research Using Sentinel-2 Data: A Review , 2020, Remote. Sens..

[37]  Jianping Huang,et al.  Accelerated dryland expansion under climate change , 2016 .

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

[39]  J. Abatzoglou,et al.  TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958–2015 , 2018, Scientific Data.

[40]  Zemeng Fan,et al.  Explicitly Identifying the Desertification Change in CMREC Area Based on Multisource Remote Data , 2020, Remote. Sens..

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

[42]  R. Sage,et al.  The temperature response of C(3) and C(4) photosynthesis. , 2007, Plant, cell & environment.

[43]  P. Rasch,et al.  Short-term modulation of Indian summer monsoon rainfall by West Asian dust , 2014 .

[44]  R. H. Haas,et al.  Evaluating Landsat Thematic Mapper derived vegetation indices for estimating above-ground biomass on semiarid rangelands , 1993 .

[45]  Jian Yang,et al.  Landsat remote sensing approaches for monitoring long-term tree cover dynamics in semi-arid woodlands: Comparison of vegetation indices and spectral mixture analysis , 2012 .

[46]  Coupling analysis of social-economic water consumption and its effects on the arid environments in Xinjiang of China based on the water and ecological footprints , 2020, Journal of Arid Land.

[47]  Dagbegnon Clement Sohoulande Djebou,et al.  Vegetation response to precipitation across the aridity gradient of the southwestern United states , 2015 .

[48]  A. Dai,et al.  The Magnitude and Causes of Global Drought Changes in the Twenty-First Century under a Low-Moderate Emissions Scenario , 2015 .

[49]  Yongping Shen,et al.  Hydrology and water resources variation and its response to regional climate change in Xinjiang , 2010 .

[50]  Shen Yanjun,et al.  Spatial and temporal trends of climate change in Xinjiang, China , 2011 .

[51]  Yaning Chen,et al.  NDVI-based vegetation responses to climate change in an arid area of China , 2016, Theoretical and Applied Climatology.

[52]  Markus Reichstein,et al.  Effects of climate extremes on the terrestrial carbon cycle: concepts, processes and potential future impacts , 2015, Global change biology.

[53]  Kelly K. Caylor,et al.  Dryland ecohydrology and climate change: critical issues and technical advances , 2012 .

[54]  A. V. Hees Growth and morphology of pedunculate oak (Quercus robur L.) and beech (Fagus sylvatica L.) seedlings in relation to shading and drought , 1997 .

[55]  A. Berg,et al.  Present and future Köppen-Geiger climate classification maps at 1-km resolution , 2018, Scientific Data.

[56]  Martin Brandt,et al.  Remote sensing of vegetation dynamics in drylands: Evaluating vegetation optical depth (VOD) using AVHRR NDVI and in situ green biomass data over West African Sahel , 2016 .