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ORIGINAL RESEARCH article

Front. Plant Sci.
Sec. Plant Abiotic Stress
Volume 15 - 2024 | doi: 10.3389/fpls.2024.1418396

Response of Solar-induced Chlorophyll Fluorescence-based Spatial and Temporal Evolution of Vegetation in Xinjiang to Multi-scale Drought 1

Provisionally accepted
Cong Xue Cong Xue 1Mei Zan Mei Zan 1*Yanlian Zhou Yanlian Zhou 2Zhizhong Chen Zhizhong Chen 1*Jingjing Kong Jingjing Kong 1*Shunfa Yang Shunfa Yang 1*Lili Zhai Lili Zhai 1*Jia Zhou Jia Zhou 1*
  • 1 Xinjiang Normal University, Urumqi, Xinjiang Uyghur Region, China
  • 2 School of Geography and Ocean Sciences, Nanjing University, Nanjing, Jiangsu Province, China

The final, formatted version of the article will be published soon.

    Climate change and human activities have increased droughts, especially overgrazing and deforestation, which seriously threaten the balance of terrestrial ecosystems. The ecological carrying capacity and vegetation cover of Xinjiang, China's arid zone are generally low, necessitating research on vegetation response to drought in such arid regions. In this study, we analyzed the spatial and temporal characteristics of drought in Xinjiang from 2001 to 2020 and revealed the response mechanism of GOSIF to multi-timescale drought in different vegetation types using standardized precipitation evapotranspiration index (SPEI), solar-induced chlorophyll fluorescence (SIF), normalized difference vegetation index (NDVI), and enhanced vegetation index (EVI) data. We employed trend analysis, standardized anomaly index (SAI), Pearson correlation, and trend prediction techniques. Our investigation focused on the correlations between GOSIF (a new SIF product based on the Global Orbital Carbon Observatory-2), NDVI, and EVI with SPEI12 for different vegetation types over the past two decades. Additionally, we examined the sensitivities of vegetation GOSIF to various scales of SPEI in a typical drought year and predicted future drought trends in Xinjiang. The results revealed that the spatial distribution characteristics of GOSIF, normalised difference vegetation index (NDVI), and enhanced vegetation index (EVI) were consistent, with mean correlations with SPEI at 0.197, 0.156, and 0.128, respectively. GOSIF exhibited the strongest correlation with SPEI, reflecting the impact of drought stress on vegetation Language style: British English

    Keywords: GOSIF1, SPEI2, Multiscale3, Spatio-temporal characteristics4, Xinjiang arid zone5

    Received: 16 Apr 2024; Accepted: 16 Jul 2024.

    Copyright: © 2024 Xue, Zan, Zhou, Chen, Kong, Yang, Zhai and Zhou. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Mei Zan, Xinjiang Normal University, Urumqi, 830054, Xinjiang Uyghur Region, China
    Zhizhong Chen, Xinjiang Normal University, Urumqi, 830054, Xinjiang Uyghur Region, China
    Jingjing Kong, Xinjiang Normal University, Urumqi, 830054, Xinjiang Uyghur Region, China
    Shunfa Yang, Xinjiang Normal University, Urumqi, 830054, Xinjiang Uyghur Region, China
    Lili Zhai, Xinjiang Normal University, Urumqi, 830054, Xinjiang Uyghur Region, China
    Jia Zhou, Xinjiang Normal University, Urumqi, 830054, Xinjiang Uyghur Region, China

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