IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i21p13916-d953782.html
   My bibliography  Save this article

Vegetation Changing Patterns and Its Sensitivity to Climate Variability across Seven Major Watersheds in China

Author

Listed:
  • Qin Wang

    (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China)

  • Qin Ju

    (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China)

  • Yueyang Wang

    (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China)

  • Quanxi Shao

    (CSIRO Data 61, Australian Resources Research Centre, Kensington, WA 6151, Australia)

  • Rongrong Zhang

    (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China)

  • Yanli Liu

    (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, China)

  • Zhenchun Hao

    (State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China)

Abstract

Climate changes have profound impacts on vegetation and further alter hydrological processes through transpiration, interception, and evaporation. This study investigated vegetation’s changing patterns and its sensitivity to climate variability across seven major watersheds in China based on a hybrid regionalization approach and a novel, empirical index—Vegetation Sensitivity Index (VSI). Vegetation showed linearly increasing trends in most of the seven watersheds, while decreases in vegetation were mostly found in the source regions of the Yangtze River Basin (YZRB) and Yellow River Basin (YRB), the forest and grassland areas of the Songhua River Basin (SHRB) and Liao River Basin (LRB), the Yangtze River Delta, and the Pearl River Delta during the growing season. The selected watersheds can be categorized into 11 sub-regions, and the regionalization result was consistent with the topography and vegetation types; the characteristics of vegetation dynamics were more homogeneous among sub-regions. Vegetation types such as forests and shrubland in the central parts of the YZRB were relatively more vulnerable to climate variations than the grasslands and alpine meadows and tundra (AMT) in the source regions of the YZRB and YRB and the Loess Plateau of the YRB. In arid and semi-arid regions, precipitation had a profound impact on vegetation, while, at low latitudes, solar radiation was the main controlling factor. Such comprehensive investigations of the vegetation–climate relationship patterns across various watersheds are expected to provide a foundation for the exploration of future climate change impacts on ecosystems at the watershed scale.

Suggested Citation

  • Qin Wang & Qin Ju & Yueyang Wang & Quanxi Shao & Rongrong Zhang & Yanli Liu & Zhenchun Hao, 2022. "Vegetation Changing Patterns and Its Sensitivity to Climate Variability across Seven Major Watersheds in China," IJERPH, MDPI, vol. 19(21), pages 1-19, October.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:21:p:13916-:d:953782
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/21/13916/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/21/13916/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Robert Buitenwerf & Laura Rose & Steven I. Higgins, 2015. "Three decades of multi-dimensional change in global leaf phenology," Nature Climate Change, Nature, vol. 5(4), pages 364-368, April.
    2. Maomao Zhang & Abdulla-Al Kafy & Bing Ren & Yanwei Zhang & Shukui Tan & Jianxing Li, 2022. "Application of the Optimal Parameter Geographic Detector Model in the Identification of Influencing Factors of Ecological Quality in Guangzhou, China," Land, MDPI, vol. 11(8), pages 1-20, August.
    3. Zaichun Zhu & Shilong Piao & Ranga B. Myneni & Mengtian Huang & Zhenzhong Zeng & Josep G. Canadell & Philippe Ciais & Stephen Sitch & Pierre Friedlingstein & Almut Arneth & Chunxiang Cao & Lei Cheng &, 2016. "Greening of the Earth and its drivers," Nature Climate Change, Nature, vol. 6(8), pages 791-795, August.
    4. L. V. Gatti & M. Gloor & J. B. Miller & C. E. Doughty & Y. Malhi & L. G. Domingues & L. S. Basso & A. Martinewski & C. S. C. Correia & V. F. Borges & S. Freitas & R. Braz & L. O. Anderson & H. Rocha &, 2014. "Drought sensitivity of Amazonian carbon balance revealed by atmospheric measurements," Nature, Nature, vol. 506(7486), pages 76-80, February.
    5. Ph. Ciais & M. Reichstein & N. Viovy & A. Granier & J. Ogée & V. Allard & M. Aubinet & N. Buchmann & Chr. Bernhofer & A. Carrara & F. Chevallier & N. De Noblet & A. D. Friend & P. Friedlingstein & T. , 2005. "Europe-wide reduction in primary productivity caused by the heat and drought in 2003," Nature, Nature, vol. 437(7058), pages 529-533, September.
    6. Maomao Zhang & Cheng Zhang & Abdulla-Al Kafy & Shukui Tan, 2021. "Simulating the Relationship between Land Use/Cover Change and Urban Thermal Environment Using Machine Learning Algorithms in Wuhan City, China," Land, MDPI, vol. 11(1), pages 1-17, December.
    7. Anna M. Ukkola & I. Colin Prentice & Trevor F. Keenan & Albert I. J. M. van Dijk & Neil R. Viney & Ranga B. Myneni & Jian Bi, 2016. "Reduced streamflow in water-stressed climates consistent with CO2 effects on vegetation," Nature Climate Change, Nature, vol. 6(1), pages 75-78, January.
    8. Sun, Shaobo & Chen, Baozhang & Ge, Mengyu & Qu, Junfeng & Che, Tao & Zhang, Huifang & Lin, Xiaofeng & Che, Mingliang & Zhou, Ziyuan & Guo, Lifeng & Wang, Bingyang, 2016. "Improving soil organic carbon parameterization of land surface model for cold regions in the Northeastern Tibetan Plateau, China," Ecological Modelling, Elsevier, vol. 330(C), pages 1-15.
    9. Alistair W. R. Seddon & Marc Macias-Fauria & Peter R. Long & David Benz & Kathy J. Willis, 2016. "Sensitivity of global terrestrial ecosystems to climate variability," Nature, Nature, vol. 531(7593), pages 229-232, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sergio M. Vicente‐Serrano & Tim R. McVicar & Diego G. Miralles & Yuting Yang & Miquel Tomas‐Burguera, 2020. "Unraveling the influence of atmospheric evaporative demand on drought and its response to climate change," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 11(2), March.
    2. Lu Zhang & Xuehan Lin & Bingkui Qiu & Maomao Zhang & Qingsong He, 2022. "The Industrial Sprawl in China from 2010 to 2019: A Multi-Level Spatial Analysis Based on Urban Scaling Law," IJERPH, MDPI, vol. 19(23), pages 1-14, December.
    3. T. F. Keenan & X. Luo & B. D. Stocker & M. G. Kauwe & B. E. Medlyn & I. C. Prentice & N. G. Smith & C. Terrer & H. Wang & Y. Zhang & S. Zhou, 2023. "A constraint on historic growth in global photosynthesis due to rising CO2," Nature Climate Change, Nature, vol. 13(12), pages 1376-1381, December.
    4. Zhaoxue Gai & Ying Xu & Guoming Du, 2023. "Spatio-Temporal Differentiation and Driving Factors of Carbon Storage in Cultivated Land-Use Transition," Sustainability, MDPI, vol. 15(5), pages 1-16, February.
    5. Linghui Guo & Yuanyuan Luo & Yao Li & Tianping Wang & Jiangbo Gao & Hebing Zhang & Youfeng Zou & Shaohong Wu, 2023. "Spatiotemporal Changes and the Prediction of Drought Characteristics in a Major Grain-Producing Area of China," Sustainability, MDPI, vol. 15(22), pages 1-19, November.
    6. Finger, Robert, 2010. "Evidence of slowing yield growth - The example of Swiss cereal yields," Food Policy, Elsevier, vol. 35(2), pages 175-182, April.
    7. Martina Bozzola & Robert Finger, 2021. "Stability of risk attitude, agricultural policies and production shocks: evidence from Italy," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 48(3), pages 477-501.
    8. Meng Luo & Shengwei Zhang & Lei Huang & Zhiqiang Liu & Lin Yang & Ruishen Li & Xi Lin, 2022. "Temporal and Spatial Changes of Ecological Environment Quality Based on RSEI: A Case Study in Ulan Mulun River Basin, China," Sustainability, MDPI, vol. 14(20), pages 1-19, October.
    9. Sharaniya Vijitharan & Nophea Sasaki & Manjunatha Venkatappa & Nitin Kumar Tripathi & Issei Abe & Takuji W. Tsusaka, 2022. "Assessment of Forest Cover Changes in Vavuniya District, Sri Lanka: Implications for the Establishment of Subnational Forest Reference Emission Level," Land, MDPI, vol. 11(7), pages 1-25, July.
    10. Bohn, Friedrich J. & Frank, Karin & Huth, Andreas, 2014. "Of climate and its resulting tree growth: Simulating the productivity of temperate forests," Ecological Modelling, Elsevier, vol. 278(C), pages 9-17.
    11. Shulin Chen & Zhenghao Zhu & Xiaotong Liu & Li Yang, 2022. "Variation in Vegetation and Its Driving Force in the Pearl River Delta Region of China," IJERPH, MDPI, vol. 19(16), pages 1-15, August.
    12. Huang, Ze & Liu, Yu & Qiu, Kaiyang & López-Vicente, Manuel & Shen, Weibo & Wu, Gao-Lin, 2021. "Soil-water deficit in deep soil layers results from the planted forest in a semi-arid sandy land: Implications for sustainable agroforestry water management," Agricultural Water Management, Elsevier, vol. 254(C).
    13. Zhang, Yuliang & Wu, Zhiyong & Singh, Vijay P. & Lin, Qingxia & Ning, Shaowei & Zhou, Yuliang & Jin, Juliang & Zhou, Rongxing & Ma, Qiang, 2023. "Agricultural drought characteristics in a typical plain region considering irrigation, crop growth, and water demand impacts," Agricultural Water Management, Elsevier, vol. 282(C).
    14. Iris Vogeler & Christof Kluß & Tammo Peters & Friedhelm Taube, 2023. "How Much Complexity Is Required for Modelling Grassland Production at Regional Scales?," Land, MDPI, vol. 12(2), pages 1-18, January.
    15. Yao Zhang & Pierre Gentine & Xiangzhong Luo & Xu Lian & Yanlan Liu & Sha Zhou & Anna M. Michalak & Wu Sun & Joshua B. Fisher & Shilong Piao & Trevor F. Keenan, 2022. "Increasing sensitivity of dryland vegetation greenness to precipitation due to rising atmospheric CO2," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    16. Zhihua Liu & John S. Kimball & Ashley P. Ballantyne & Nicholas C. Parazoo & Wen J. Wang & Ana Bastos & Nima Madani & Susan M. Natali & Jennifer D. Watts & Brendan M. Rogers & Philippe Ciais & Kailiang, 2022. "Respiratory loss during late-growing season determines the net carbon dioxide sink in northern permafrost regions," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    17. Wen Chen & Jinjie Wang & Jianli Ding & Xiangyu Ge & Lijing Han & Shaofeng Qin, 2023. "Detecting Long-Term Series Eco-Environmental Quality Changes and Driving Factors Using the Remote Sensing Ecological Index with Salinity Adaptability (RSEI SI ): A Case Study in the Tarim River Basin,," Land, MDPI, vol. 12(7), pages 1-23, June.
    18. Yuhao Jin & Han Zhang & Yuchao Yan & Peitong Cong, 2020. "A Semi-Parametric Geographically Weighted Regression Approach to Exploring Driving Factors of Fractional Vegetation Cover: A Case Study of Guangdong," Sustainability, MDPI, vol. 12(18), pages 1-19, September.
    19. Henry R. Scharf & Ann M. Raiho & Sierra Pugh & Carl A. Roland & David K. Swanson & Sarah E. Stehn & Mevin B. Hooten, 2022. "Multivariate Bayesian clustering using covariate‐informed components with application to boreal vegetation sensitivity," Biometrics, The International Biometric Society, vol. 78(4), pages 1427-1440, December.
    20. Jason Alexandra, 2021. "Navigating the Anthropocene’s rivers of risk—climatic change and science-policy dilemmas in Australia’s Murray-Darling Basin," Climatic Change, Springer, vol. 165(1), pages 1-21, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:21:p:13916-:d:953782. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.