Literature DB >> 28965264

Land surface phenology of Northeast China during 2000-2015: temporal changes and relationships with climate changes.

Yue Zhang1,2, Lin Li3, Hongbin Wang4,5, Yao Zhang6, Naijia Wang7, Junpeng Chen1.   

Abstract

As an important crop growing area, Northeast China (NEC) plays a vital role in China's food security, which has been severely affected by climate change in recent years. Vegetation phenology in this region is sensitive to climate change, and currently, the relationship between the phenology of NEC and climate change remains unclear. In this study, we used a satellite-derived normalized difference vegetation index (NDVI) to obtain the temporal patterns of the land surface phenology in NEC from 2000 to 2015 and validated the results using ground phenology observations. We then explored the relationships among land surface phenology, temperature, precipitation, and sunshine hours for relevant periods. Our results showed that the NEC experienced great phenological changes in terms of spatial heterogeneity during 2000-2015. The spatial patterns of land surface phenology mainly changed with altitude and land cover type. In most regions of NEC, the start date of land surface phenology had advanced by approximately 1.0 days year-1, and the length of land surface phenology had been prolonged by approximately 1.0 days year-1 except for the needle-leaf and cropland areas, due to the warm conditions. We found that a distinct inter-annual variation in land surface phenology related to climate variables, even if some areas presented non-significant trends. Land surface phenology was coupled with climate variables and distinct responses at different combinations of temperature, precipitation, sunshine hours, altitude, and anthropogenic influence. These findings suggest that remote sensing and our phenology extracting methods hold great potential for helping to understand how land surface phenology is sensitive to global climate change.

Keywords:  Climate changes; Land surface phenology; NDVI; Northeast China; Remote sensing

Mesh:

Year:  2017        PMID: 28965264     DOI: 10.1007/s10661-017-6247-1

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  13 in total

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Authors:  A Menzel
Journal:  Int J Biometeorol       Date:  2000-08       Impact factor: 3.787

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Authors:  Shilong Piao; Philippe Ciais; Yao Huang; Zehao Shen; Shushi Peng; Junsheng Li; Liping Zhou; Hongyan Liu; Yuecun Ma; Yihui Ding; Pierre Friedlingstein; Chunzhen Liu; Kun Tan; Yongqiang Yu; Tianyi Zhang; Jingyun Fang
Journal:  Nature       Date:  2010-09-02       Impact factor: 49.962

Review 3.  Shifting plant phenology in response to global change.

Authors:  Elsa E Cleland; Isabelle Chuine; Annette Menzel; Harold A Mooney; Mark D Schwartz
Journal:  Trends Ecol Evol       Date:  2007-05-02       Impact factor: 17.712

4.  Alpine vegetation phenology dynamic over 16years and its covariation with climate in a semi-arid region of China.

Authors:  Jihua Zhou; Wentao Cai; Yue Qin; Liming Lai; Tianyu Guan; Xiaolong Zhang; Lianhe Jiang; Hui Du; Dawen Yang; Zhentao Cong; Yuanrun Zheng
Journal:  Sci Total Environ       Date:  2016-08-03       Impact factor: 7.963

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Authors:  Irene Garonna; Rogier de Jong; Michael E Schaepman
Journal:  Glob Chang Biol       Date:  2016-02-09       Impact factor: 10.863

6.  Interannual variations in spring phenology and their response to climate change across the Tibetan Plateau from 1982 to 2013.

Authors:  Lingling Liu; Xiaoyang Zhang; Alison Donnelly; Xinjie Liu
Journal:  Int J Biometeorol       Date:  2016-03-02       Impact factor: 3.787

7.  Mapping paddy rice planting areas through time series analysis of MODIS land surface temperature and vegetation index data.

Authors:  Geli Zhang; Xiangming Xiao; Jinwei Dong; Weili Kou; Cui Jin; Yuanwei Qin; Yuting Zhou; Jie Wang; Michael Angelo Menarguez; Chandrashekhar Biradar
Journal:  ISPRS J Photogramm Remote Sens       Date:  2015-06-12       Impact factor: 8.979

8.  Leaf onset in the northern hemisphere triggered by daytime temperature.

Authors:  Shilong Piao; Jianguang Tan; Anping Chen; Yongshuo H Fu; Philippe Ciais; Qiang Liu; Ivan A Janssens; Sara Vicca; Zhenzhong Zeng; Su-Jong Jeong; Yue Li; Ranga B Myneni; Shushi Peng; Miaogen Shen; Josep Peñuelas
Journal:  Nat Commun       Date:  2015-04-23       Impact factor: 14.919

9.  Estimating carbon flux phenology with satellite-derived land surface phenology and climate drivers for different biomes: a synthesis of AmeriFlux observations.

Authors:  Wenquan Zhu; Guangsheng Chen; Nan Jiang; Jianhong Liu; Minjie Mou
Journal:  PLoS One       Date:  2013-12-27       Impact factor: 3.240

10.  Earlier-season vegetation has greater temperature sensitivity of spring phenology in northern hemisphere.

Authors:  Miaogen Shen; Yanhong Tang; Jin Chen; Xi Yang; Cong Wang; Xiaoyong Cui; Yongping Yang; Lijian Han; Le Li; Jianhui Du; Gengxin Zhang; Nan Cong
Journal:  PLoS One       Date:  2014-02-05       Impact factor: 3.240

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  1 in total

1.  Age-Dependent and Seasonal Changes in Menstrual Cycle Length and Body Temperature Based on Big Data.

Authors:  Takayuki Tatsumi; Makiko Sampei; Kazuki Saito; Yuka Honda; Yuka Okazaki; Naoko Arata; Kanako Narumi; Naho Morisaki; Tomonori Ishikawa; Satoshi Narumi
Journal:  Obstet Gynecol       Date:  2020-10       Impact factor: 7.623

  1 in total

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