LiSunLiuEtAl2021

Référence

Li, P., Sun, M., Liu, Y., Ren, P., Peng, C., Zhou, X., Tang, J. (2021) Response of vegetation photosynthetic phenology to urbanization in dongting lake basin, china. Remote Sensing, 13(18). (Scopus )

Résumé

Urbanization can induce environmental changes such as the urban heat island effect, which in turn influence the terrestrial ecosystem. However, the effect of urbanization on the phenology of subtropical vegetation remains relatively unexplored. This study analyzed the changing trend of vegetation photosynthetic phenology in Dongting Lake basin, China, and its response to urbanization using nighttime light and chlorophyll fluorescence datasets. Our results indicated the start of the growing season (SOS) of vegetation in the study area was significantly advanced by 0.70 days per year, whereas the end of the growing season (EOS) was delayed by 0.24 days per year during 2000–2017. We found that urbanization promoted the SOS advance and EOS delay. With increasing urbanization intensity, the sensitivity of SOS to urbanization firstly increased then decreased, while the sensitivity of EOS to urbanization decreased with urbanization intensity. The climate sensitivity of vegetation phenology varied with urbanization intensity; urbanization induced an earlier SOS by increasing preseason minimum temperatures and a later EOS by increasing preseason precipitation. These findings improve our understanding of the vegetation phenology response to urbanization in subtropical regions and highlight the need to integrate human activities into future vegetation phenology models. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

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@ARTICLE { LiSunLiuEtAl2021,
    AUTHOR = { Li, P. and Sun, M. and Liu, Y. and Ren, P. and Peng, C. and Zhou, X. and Tang, J. },
    JOURNAL = { Remote Sensing },
    TITLE = { Response of vegetation photosynthetic phenology to urbanization in dongting lake basin, china },
    YEAR = { 2021 },
    NOTE = { cited By 0 },
    NUMBER = { 18 },
    VOLUME = { 13 },
    ABSTRACT = { Urbanization can induce environmental changes such as the urban heat island effect, which in turn influence the terrestrial ecosystem. However, the effect of urbanization on the phenology of subtropical vegetation remains relatively unexplored. This study analyzed the changing trend of vegetation photosynthetic phenology in Dongting Lake basin, China, and its response to urbanization using nighttime light and chlorophyll fluorescence datasets. Our results indicated the start of the growing season (SOS) of vegetation in the study area was significantly advanced by 0.70 days per year, whereas the end of the growing season (EOS) was delayed by 0.24 days per year during 2000–2017. We found that urbanization promoted the SOS advance and EOS delay. With increasing urbanization intensity, the sensitivity of SOS to urbanization firstly increased then decreased, while the sensitivity of EOS to urbanization decreased with urbanization intensity. The climate sensitivity of vegetation phenology varied with urbanization intensity; urbanization induced an earlier SOS by increasing preseason minimum temperatures and a later EOS by increasing preseason precipitation. These findings improve our understanding of the vegetation phenology response to urbanization in subtropical regions and highlight the need to integrate human activities into future vegetation phenology models. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. },
    AFFILIATION = { School of Geographic Sciences, Hunan Normal University, Changsha, 410081, China; Department of Biology Sciences, Institute of Environment Sciences, University of Quebec at Montreal, C.P. 8888, Succ. Centre-Ville, Montreal, QC H3C 3P8, Canada },
    ART_NUMBER = { 3722 },
    AUTHOR_KEYWORDS = { Carbon cycling; Climate sensitivity; Nighttime light; Solar-induced chlorophyll fluorescence; Vegetation phenology },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.3390/rs13183722 },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115154565&doi=10.3390%2frs13183722&partnerID=40&md5=60e224c358c0c9f85cdd3f3b3697af4e },
}

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