69 citations as recorded by crossref.

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2. Investigating the effect of temperature, precipitation, and soil salinity changes on Riparian Forests’ phenology using a remote sensing approach M. Sharif & S. Attarchi 10.1016/j.rsase.2024.101194
3. Climate change-induced greening on the Tibetan Plateau modulated by mountainous characteristics H. Teng et al. 10.1088/1748-9326/abfeeb
4. Recent vegetation browning and its drivers on Tianshan Mountain, Central Asia Y. Li et al. 10.1016/j.ecolind.2021.107912
5. Land-Greening Hotspot Changes in the Yangtze River Economic Belt during the Last Four Decades and Their Connections to Human Activities L. Zhang et al. 10.3390/land11050605
6. Spatiotemporal variation of vegetation coverage and its associated influence factor analysis in the Yangtze River Delta, eastern China J. Yuan et al. 10.1007/s11356-019-06378-2
7. Assessing plant senescence reflectance index-retrieved vegetation phenology and its spatiotemporal response to climate change in the Inner Mongolian Grassland S. Ren et al. 10.1007/s00484-016-1236-6
8. Understanding the shift in drivers of terrestrial water storage decline in the central Inner Mongolian steppe over the past two decades X. Zhang et al. 10.1016/j.jhydrol.2024.131312
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10. Declining Precipitation Enhances the Effect of Warming on Phenological Variation in a Semiarid Tibetan Meadow Steppe Z. Guangshuai et al. 10.5814/j.issn.1674-764x.2017.01.007
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12. The important role of soil moisture in controlling autumn phenology of herbaceous plants in the Inner Mongolian steppe Z. Tao et al. 10.1002/ldr.3827
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14. Interdisciplinary information for achieving water security L. James & M. Shafiee-Jood 10.1016/j.wasec.2017.10.001
15. A comparative study of 17 phenological models to predict the start of the growing season Y. Mo et al. 10.3389/ffgc.2022.1032066
16. Impacts of Underlying Surface on the Dusty Weather in Central Inner Mongolian Steppe, China C. Bao et al. 10.1029/2021EA001672
17. Impacts of climate change on vegetation phenology over the Great Lakes Region of Central Asia from 1982 to 2014 X. Gao & D. Zhao 10.1016/j.scitotenv.2022.157227
18. Spatial downscaling algorithm of TRMM precipitation based on multiple high-resolution satellite data for Inner Mongolia, China L. Duan et al. 10.1007/s00704-017-2347-7
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20. Assessing the impact of climate variability and human activities on streamflow variation J. Chang et al. 10.5194/hess-20-1547-2016
21. Projected climate change impacts on future streamflow of the Yarlung Tsangpo-Brahmaputra River R. Xu et al. 10.1016/j.gloplacha.2019.01.012
22. Climatic and hydrologic controls on net primary production in a semiarid loess watershed F. Zhao et al. 10.1016/j.jhydrol.2018.11.031
23. Effects of sampling method on foliar δ13C of Leymus chinensis at different scales Y. Liu et al. 10.1002/ece3.1401
24. Satellite Monitoring of Vegetation Response to Precipitation and Dust Storm Outbreaks in Gobi Desert Regions Y. Sofue et al. 10.3390/land7010019
25. Predicting spring green-up across diverse North American grasslands A. Post et al. 10.1016/j.agrformet.2022.109204
26. The relationships between grasslands and soil moisture on the Loess Plateau of China: A review X. Zhang et al. 10.1016/j.catena.2016.05.022
27. Representation of spatial and temporal variability in large-domain hydrological models: case study for a mesoscale pre-Alpine basin L. Melsen et al. 10.5194/hess-20-2207-2016
28. Grazing alters the phenology of alpine steppe by changing the surface physical environment on the northeast Qinghai-Tibet Plateau, China G. Li et al. 10.1016/j.jenvman.2019.07.028
29. The Yale Interactive terrestrial Biosphere model version 1.0: description, evaluation and implementation into NASA GISS ModelE2 X. Yue & N. Unger 10.5194/gmd-8-2399-2015
30. Little change in heat requirement for vegetation green-up on the Tibetan Plateau over the warming period of 1998–2012 N. Cong et al. 10.1016/j.agrformet.2016.10.021
31. A Simple Method for Detecting Phenological Change From Time Series of Vegetation Index J. Chen et al. 10.1109/TGRS.2016.2518167
32. Growth stage-dependent responses of carbon fixation process of alpine grasslands to climate change over the Tibetan Plateau, China Y. You et al. 10.1016/j.agrformet.2020.108085
33. Assessment of Human-Related Driving Forces for Reduced Carbon Uptake Using Neighborhood Analysis and Geographically Weighted Regression: A Case Study in the Grassland of Inner Mongolia, China Z. Sha & R. Li 10.3390/app10217787
34. The effect of phenology on the carbon exchange process in grassland and maize cropland ecosystems across a semiarid area of China Q. Du et al. 10.1016/j.scitotenv.2019.133868
35. Precipitation impacts on vegetation spring phenology on the Tibetan Plateau M. Shen et al. 10.1111/gcb.12961
36. Enhanced soil moisture improves vegetation growth in an arid grassland of Inner Mongolia Autonomous Region, China H. Zhang et al. 10.1007/s40333-023-0019-2
37. A shift in the dominant role of atmospheric vapor pressure deficit and soil moisture on vegetation greening in China Y. Cheng et al. 10.1016/j.jhydrol.2022.128680
38. Diverse Responses of Vegetation Phenology to Climate Change in Different Grasslands in Inner Mongolia during 2000–2016 S. Ren et al. 10.3390/rs10010017
39. Empirical and model-based estimates of spatial and temporal variations in net primary productivity in semi-arid grasslands of Northern China S. Zhang et al. 10.1371/journal.pone.0187678
40. Spatiotemporal changes in the bud-burst date of herbaceous plants in Inner Mongolia grassland Z. Tao et al. 10.1007/s11442-019-1708-9
41. Temperature-precipitation background affects spatial heterogeneity of spring phenology responses to climate change in northern grasslands (30°N-55°N) S. Ren et al. 10.1016/j.agrformet.2022.108816
42. Grassland Phenology’s Sensitivity to Extreme Climate Indices in the Sichuan Province, Western China B. Adu et al. 10.3390/atmos12121650
43. Identifying environmental controls on vegetation greenness phenology through model–data integration M. Forkel et al. 10.5194/bg-11-7025-2014
44. Nonuniform variations of precipitation and temperature across China over the period 1960–2015 D. Zhao et al. 10.1002/joc.6622
45. Refined Analysis of Vegetation Phenology Changes and Driving Forces in High Latitude Altitude Regions of the Northern Hemisphere: Insights from High Temporal Resolution MODIS Products H. Yin et al. 10.3390/rs16101744
46. Environmental and physiological controls on sap flow in a subhumid mountainous catchment in North China Q. Tie et al. 10.1016/j.agrformet.2017.03.018
47. The Effects of Pre-Season Rainfall on the Phenology of Plants in the Rejuvenated Period 丽. 郭 10.12677/IJE.2020.91004
48. Comparing different methods for determining forest evapotranspiration and its components at multiple temporal scales Q. Tie et al. 10.1016/j.scitotenv.2018.03.082
49. Monitoring Phenology in the Temperate Grasslands of China from 1982 to 2015 and Its Relation to Net Primary Productivity C. Zhang et al. 10.3390/su12010012
50. Spatio-temporal patterns of satellite-derived grassland vegetation phenology from 1998 to 2012 in Inner Mongolia, China Z. Sha et al. 10.1007/s40333-016-0121-9
51. A New Perspective on Understanding the Reduced Spring Dust Storm Frequency in Inner Mongolia, China N. Li et al. 10.1007/s13753-015-0062-5
52. Soil water migration in the unsaturated zone of semiarid region in China from isotope evidence Y. Yang & B. Fu 10.5194/hess-21-1757-2017
53. Soil moisture outweighs temperature for triggering the green-up date in temperate grasslands Z. Tao et al. 10.1007/s00704-020-03145-z
54. Water Addition Prolonged the Length of the Growing Season of the Desert Shrub Nitraria tangutorum in a Temperate Desert F. Bao et al. 10.3389/fpls.2020.01099
55. Earlier vegetation green-up has reduced spring dust storms B. Fan et al. 10.1038/srep06749
56. Response of vegetation carbon uptake to snow-induced phenological and physiological changes across temperate China S. Chen et al. 10.1016/j.scitotenv.2019.07.222
57. Precipitation Dominates the Relative Contributions of Climate Factors to Grasslands Spring Phenology on the Tibetan Plateau M. Cheng et al. 10.3390/rs14030517
58. Seasonal grazing alters nutrient resorption and conservation, and affects spring growth ofStipa grandis T. Zhang et al. 10.1093/jpe/rtac083
59. Effects of multiple climate change factors on the spring phenology of herbaceous plants in Inner Mongolia, China: Evidence from ground observation and controlled experiments W. Huang et al. 10.1002/joc.6131
60. A risk-benefit model to simulate vegetation spring onset in response to multi-decadal climate variability: Theoretical basis and applications from the field to the Northern Hemisphere Q. Xin 10.1016/j.agrformet.2016.06.017
61. Evaluation and comparison of growing season metrics in arid and semi-arid areas of northern China under climate change L. Cui & J. Shi 10.1016/j.ecolind.2020.107055
62. An improved phenology model for monitoring green-up date variation in Leymus chinensis steppe in Inner Mongolia during 1962–2017 D. Fan et al. 10.1016/j.agrformet.2020.108091
63. Phenological changes in herbaceous plants in China’s grasslands and their responses to climate change: a meta-analysis W. Huang et al. 10.1007/s00484-020-01974-1
64. HESS Opinions: The need for process-based evaluation of large-domain hyper-resolution models L. Melsen et al. 10.5194/hess-20-1069-2016
65. Regulation of biophysical drivers on carbon and water fluxes over a warm-temperate plantation in northern China P. Yu et al. 10.1016/j.scitotenv.2023.167408
66. An improved logistic method for detecting spring vegetation phenology in grasslands from MODIS EVI time-series data R. Cao et al. 10.1016/j.agrformet.2014.09.009
67. Divergence in ecosystem carbon fluxes and soil nitrogen characteristics across alpine steppe, alpine meadow and alpine swamp ecosystems in a biome transition zone Y. Liu et al. 10.1016/j.scitotenv.2020.142453
68. A growing season climatic index to simulate gross primary productivity and carbon budget in a Tibetan alpine meadow X. Chai et al. 10.1016/j.ecolind.2017.05.064
69. Grassland vegetation phenological variations and responses to climate change in the Xinjiang region, China R. Zhang et al. 10.1016/j.quaint.2019.03.010