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Characteristics of Climate Change in Poyang Lake Basin and Its Impact on Net Primary Productivity

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  • Yang Yang

    (State Key Laboratory of Resources and Environment Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101499, China)

  • Chenchen Wu

    (State Key Laboratory of Resources and Environment Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101499, China)

  • Tongrui An

    (Natural, Mathematical & Engineering Science, King’s College London, Strand, London WC2R 2LS, UK)

  • Tianxiang Yue

    (State Key Laboratory of Resources and Environment Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101499, China
    College of Land Resources and Environment, Jiangxi Agricultural University, Nanchang 330045, China)

Abstract

Climate change exerts substantial impacts on human society and the carbon cycle of terrestrial ecosystems. Studying the spatiotemporal characteristics of regional climate change and its impact on carbon sequestration is an important topic in ecology and environmental science. This study utilized meteorological and land use/cover data to explore these dynamics. Statistical methods such as the Mann–Kendall (M-K) test and wavelet analysis were used to simulate the changes in annual average temperature and precipitation in the Poyang Lake Basin from 1980 to 2020. The Carnegie–Ames–Stanford Approach (CASA) model was used to estimate the interannual variation in net primary productivity (NPP) in the region over the past 40 years. Additionally, the present study examined the influence of various factors on NPP changes. The main results are as follows: (1) Over the past four decades, the average temperature in the Poyang Lake Basin was 17.85 °C, while the average precipitation was 1621.35 mm. The average annual temperature rises at a rate of 0.27 °C per decade. (2) A significant shift in the average annual temperature occurred in the early 21st century, and annual precipitation exhibited multiple abrupt changes during the mid-to-late 1990s. Both temperature and precipitation changes follow a 25-year cycle, with temperature hotspots located in the south and precipitation hotspots in the northeast. (3) The impact of climate change on the change in NPP in the Poyang Lake Basin is about 70%, with the annual average temperature having a significant effect on the increase in NPP. This study can provide a scientific foundation for formulating policies aimed at mitigating climate-related disasters and enhancing carbon cycling in terrestrial ecosystems.

Suggested Citation

  • Yang Yang & Chenchen Wu & Tongrui An & Tianxiang Yue, 2024. "Characteristics of Climate Change in Poyang Lake Basin and Its Impact on Net Primary Productivity," Sustainability, MDPI, vol. 16(21), pages 1-16, October.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:21:p:9420-:d:1509928
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    References listed on IDEAS

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    1. Xuhui Wang & Shilong Piao & Philippe Ciais & Pierre Friedlingstein & Ranga B. Myneni & Peter Cox & Martin Heimann & John Miller & Shushi Peng & Tao Wang & Hui Yang & Anping Chen, 2014. "A two-fold increase of carbon cycle sensitivity to tropical temperature variations," Nature, Nature, vol. 506(7487), pages 212-215, February.
    2. Gopal Murali & Takuya Iwamura & Shai Meiri & Uri Roll, 2023. "Publisher Correction: Future temperature extremes threaten land vertebrates," Nature, Nature, vol. 614(7949), pages 46-46, February.
    3. Peter M. Cox & Richard A. Betts & Chris D. Jones & Steven A. Spall & Ian J. Totterdell, 2000. "Acceleration of global warming due to carbon-cycle feedbacks in a coupled climate model," Nature, Nature, vol. 408(6809), pages 184-187, November.
    4. Gopal Murali & Takuya Iwamura & Shai Meiri & Uri Roll, 2023. "Future temperature extremes threaten land vertebrates," Nature, Nature, vol. 615(7952), pages 461-467, March.
    5. Shilong Piao & Jingyun Fang & Philippe Ciais & Philippe Peylin & Yao Huang & Stephen Sitch & Tao Wang, 2009. "The carbon balance of terrestrial ecosystems in China," Nature, Nature, vol. 458(7241), pages 1009-1013, April.
    6. Mishra, Gaurav & Jangir, Abhishek & Francaviglia, Rosa, 2019. "Modeling soil organic carbon dynamics under shifting cultivation and forests using Rothc model," Ecological Modelling, Elsevier, vol. 396(C), pages 33-41.
    7. Peter M. Cox & Richard A. Betts & Chris D. Jones & Steven A. Spall & Ian J. Totterdell, 2000. "Erratum: Acceleration of global warming due to carbon-cycle feedbacks in a coupled climate model," Nature, Nature, vol. 408(6813), pages 750-750, December.
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