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Phenological dynamics of Stipa krylovii steppe and their responses to air temperature
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Jin WANG1, Guang-sheng ZHOU2, *, Qi-jin HE3, 4, Li ZHOU2, 5, Mamtimin Ali1, Shuai SUN1, Yu WANG1
China Environmental Science | 2025, 45(12) : 6832 - 6840
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China Environmental Science | 2025, 45(12): 6832-6840
• Environmental Ecology •
Phenological dynamics of Stipa krylovii steppe and their responses to air temperature
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Jin WANG1, Guang-sheng ZHOU2, *, Qi-jin HE3, 4, Li ZHOU2, 5, Mamtimin Ali1, Shuai SUN1, Yu WANG1
Affiliations
  • 1.Institute of Desert Meteorology/Field Scientific Experiment Base of Akdala Atmospheric Background, China Meteorological Administration/Wulanwusu Ecology and Agrometeorology Observation and Research Station of Xinjiang, Urumqi 830002, China
  • 2.State Key Laboratory of Severe Weather Science and Technology (LaSW)/Hebei Gucheng Agricultural Meteorology National Observation and Research Station, Chinese Academy of Meteorological Sciences, Beijing 100081, China
  • 3.Collaborative Innovation Center on Forecast Meteorological Disaster Warning and Assessment, Nanjing University of Information Science and Technology, Nanjing 210044, Jiangsu, China
  • 4.College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China
  • 5.CMA-CAU Jointly Laboratory of Agriculture Addressing Climate Change, Beijing 100081, China
Published: 2025-12-20
Outline
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This study focuses on the phenological changes of Stipa krylovii steppe in Inner Mongolia and their responses to the maximum and the minimum air temperature, based on MODIS NDVI data and corresponding ground-based phenological observations from 2000 to 2024. The HANTS method was employed to reconstruct NDVI time series, and the start of season (SOS) and the end of season (EOS) were obtained using a dynamic threshold method. The results showed that: (1) the thresholds of 50% for SOS and 65% for EOS resulted in the lowest extraction errors, with RMSE values of 8d and 11d, respectively; (2) from 2000to 2024, the SOS advanced at a rate of 0.32d/10a, while the EOS was delayed at a rate of 0.12d/10a, indicating a prolonged growing season; (3) the EOS was more sensitive to air temperature than the SOS, the daytime mean maximum temperature had a significantly stronger advancing effect on EOS than the nighttime mean minimum temperature. This study determined the remote sensing-based optimal thresholds of Stipa krylovii steppe phenology, revealed the effect of air temperature on phenological change, and provided a scientific basis for steppe management under climate change.

vegetation phenology  /  dynamic threshold method  /  NDVI  /  air temperature  /  Stipa krylovii steppe
王进, 周广胜, 何奇瑾, 周莉, 买买提艾力·买买提依明, 孙帅, 王豫. 克氏针茅草原植被物候变化及其对气温的响应. 中国环境科学, 2025 , 45 (12) : 6832 -6840 .
Jin WANG, Guang-sheng ZHOU, Qi-jin HE, Li ZHOU, Mamtimin Ali, Shuai SUN, Yu WANG. Phenological dynamics of Stipa krylovii steppe and their responses to air temperature[J]. China Environmental Science, 2025 , 45 (12) : 6832 -6840 .
Year 2025 volume 45 Issue 12
51
13
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  • Receive Date:2025-05-29
  • Online Date:2026-10-08
  • Published:2025-12-20
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  • Received:2025-05-29
Funding
Affiliations
    1.Institute of Desert Meteorology/Field Scientific Experiment Base of Akdala Atmospheric Background, China Meteorological Administration/Wulanwusu Ecology and Agrometeorology Observation and Research Station of Xinjiang, Urumqi 830002, China
    2.State Key Laboratory of Severe Weather Science and Technology (LaSW)/Hebei Gucheng Agricultural Meteorology National Observation and Research Station, Chinese Academy of Meteorological Sciences, Beijing 100081, China
    3.Collaborative Innovation Center on Forecast Meteorological Disaster Warning and Assessment, Nanjing University of Information Science and Technology, Nanjing 210044, Jiangsu, China
    4.College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China
    5.CMA-CAU Jointly Laboratory of Agriculture Addressing Climate Change, Beijing 100081, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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