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