These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

391 related articles for article (PubMed ID: 34328878)

  • 21. Productivity and phenological responses of natural vegetation to present and future inter-annual climate variability across semi-arid river basins in Chile.
    Glade FE; Miranda MD; Meza FJ; van Leeuwen WJ
    Environ Monit Assess; 2016 Dec; 188(12):676. PubMed ID: 27858259
    [TBL] [Abstract][Full Text] [Related]  

  • 22. A stronger advance of urban spring vegetation phenology narrows vegetation productivity difference between urban settings and natural environments.
    Yang L; Zhao S
    Sci Total Environ; 2023 Apr; 868():161649. PubMed ID: 36657668
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Interpretation of vegetation phenology changes using daytime and night-time temperatures across the Yellow River Basin, China.
    Wang Y; Luo Y; Shafeeque M
    Sci Total Environ; 2019 Nov; 693():133553. PubMed ID: 31374493
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Monitoring responses of vegetation phenology and productivity to extreme climatic conditions using remote sensing across different sub-regions of China.
    Javed T; Li Y; Feng K; Ayantobo OO; Ahmad S; Chen X; Rashid S; Suon S
    Environ Sci Pollut Res Int; 2021 Jan; 28(3):3644-3659. PubMed ID: 32929670
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Diverse responses of spring phenology to preseason drought and warming under different biomes in the North China Plain.
    Ji S; Ren S; Li Y; Dong J; Wang L; Quan Q; Liu J
    Sci Total Environ; 2021 Apr; 766():144437. PubMed ID: 33412432
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Change and relationship between growing season metrics and net primary productivity in forestland and grassland in China.
    Cui L; Shi J; Xiao F
    Carbon Balance Manag; 2023 Dec; 18(1):26. PubMed ID: 38129703
    [TBL] [Abstract][Full Text] [Related]  

  • 27. [Phenology of forest vegetation in northeast of China in ten years using remote sensing].
    Hou XH; Niu Z; Gao S
    Guang Pu Xue Yu Guang Pu Fen Xi; 2014 Feb; 34(2):515-9. PubMed ID: 24822431
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Response of vegetation phenology to urbanization in urban agglomeration areas: A dynamic urban-rural gradient perspective.
    Liu Z; Zhou Y; Feng Z
    Sci Total Environ; 2023 Mar; 864():161109. PubMed ID: 36566859
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Urban spring phenology in the middle temperate zone of China: dynamics and influence factors.
    Liang S; Shi P; Li H
    Int J Biometeorol; 2016 Apr; 60(4):531-44. PubMed ID: 26272052
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Spatiotemporal variation in vegetation phenology and its response to climate change in marshes of Sanjiang Plain, China.
    Liu Y; Shen X; Zhang J; Wang Y; Wu L; Ma R; Lu X; Jiang M
    Ecol Evol; 2023 Jan; 13(1):e9755. PubMed ID: 36699565
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Delayed autumn phenology in the Northern Hemisphere is related to change in both climate and spring phenology.
    Liu Q; Fu YH; Zhu Z; Liu Y; Liu Z; Huang M; Janssens IA; Piao S
    Glob Chang Biol; 2016 Nov; 22(11):3702-3711. PubMed ID: 27061925
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Long-term trend in vegetation gross primary production, phenology and their relationships inferred from the FLUXNET data.
    Xu X; Du H; Fan W; Hu J; Mao F; Dong H
    J Environ Manage; 2019 Sep; 246():605-616. PubMed ID: 31202828
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Drivers of phenology shifts and their effect on productivity in northern grassland of China during 1984-2017-evidence from long-term observational data.
    Xu L; Zhang X; Wang Y; Fu Y; Yan H; Qian S; Cheng L
    Int J Biometeorol; 2021 Apr; 65(4):527-539. PubMed ID: 33219417
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Effects of drought and climate factors on vegetation dynamics in Central Asia from 1982 to 2020.
    Liu L; Peng J; Li G; Guan J; Han W; Ju X; Zheng J
    J Environ Manage; 2023 Feb; 328():116997. PubMed ID: 36516706
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Precipitation impacts on vegetation spring phenology on the Tibetan Plateau.
    Shen M; Piao S; Cong N; Zhang G; Jassens IA
    Glob Chang Biol; 2015 Oct; 21(10):3647-56. PubMed ID: 25926356
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Climate extremes drive the phenology of a dominant species in meadow steppe under gradual warming.
    Hongchao J; Guang Y; Xiaomin L; Bingrui J; Zhenzhu X; Yuhui W
    Sci Total Environ; 2023 Apr; 869():161687. PubMed ID: 36681336
    [TBL] [Abstract][Full Text] [Related]  

  • 37. The impact of vegetation phenology changes on the relationship between climate and net primary productivity in Yunnan, China, under global warming.
    Chen X; Zhang Y
    Front Plant Sci; 2023; 14():1248482. PubMed ID: 37799554
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Responses of phenology to preseason drought and soil temperature for different land cover types on the Mongolian Plateau.
    Li B; Wang R; Chen JM
    Sci Total Environ; 2024 May; 926():171895. PubMed ID: 38531448
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Earlier-season vegetation has greater temperature sensitivity of spring phenology in northern hemisphere.
    Shen M; Tang Y; Chen J; Yang X; Wang C; Cui X; Yang Y; Han L; Li L; Du J; Zhang G; Cong N
    PLoS One; 2014; 9(2):e88178. PubMed ID: 24505418
    [TBL] [Abstract][Full Text] [Related]  

  • 40. [Spatiotemporal variation and driving factors of growing season NDVI in the Tibetan Pla-teau, China.].
    Yang D; Yi GH; Zhang TB; Li JJ; Qin YB; Wen B; Liu ZY
    Ying Yong Sheng Tai Xue Bao; 2021 Apr; 32(4):1361-1372. PubMed ID: 33899405
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 20.