• Journal of Geographical Sciences
  • Vol. 30, Issue 8, 1219 (2020)
Chi ZHANG1、*, Shaohong WU1, and Guoyong LENG2
Author Affiliations
  • 1Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • 2Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
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    DOI: 10.1007/s11442-020-1778-8 Cite this Article
    Chi ZHANG, Shaohong WU, Guoyong LENG. Possible NPP changes and risky ecosystem region identification in China during the 21st century based on BCC-CSM2[J]. Journal of Geographical Sciences, 2020, 30(8): 1219 Copy Citation Text show less

    Abstract

    Based on simulations by the Beijing Climate Center climate system model version 2 (BCC-CSM2), the possible changes in net primary productivity (NPP) of the terrestrial ecosystem in China during the 21st century are explored under the Shared Socioeconomic Pathway 2 (SSP2) 4.5 scenario. We found both the near-term and long-term terrestrial NPP basically shows a unanimously increasing trend, which indicates low ecosystem productivity risk in the future. However, the simple linear regression is insufficient to characterize the long-term variation of NPP. Using the piecewise linear regression approach, we identify a decreasing trend of NPP in large areas for the latter part of the 21st century. In the northeast region (NER) from east Inner Mongolia to west Heilongjiang province, NPP decreases significantly after 2059 at a rate of -0.9% dec-1. In the south region (SR) from Zhejiang to Guangxi provinces, a rapid decline of -2.4% dec-1 is detected after 2085. Further analysis reveals that the rapid decline in SR is primarily attributed to the decrease in precipitation, with temperature playing a secondary role, while the NPP decline in NER seems to have no evident relations with climate change. These findings are useful for making preparations for potential ecosystem crisis in China in the future.
    ${{X}_{cor}}={{F}^{-1}}[F({{X}_{\bmod }};{{\alpha }_{\bmod }}{{\beta }_{\bmod }});{{\alpha }_{obs}}{{\beta }_{obs}}]$ (1)

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    ${{y}_{NPP}}=a+b\cdot {{x}_{GPP}}+\varepsilon$ (2)

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    $y=\left\{ \begin{align} & {{\alpha }_{1}}+{{\beta }_{1}}t+\varepsilon ,\quad \text{ 1}\le t\le c \\ & {{\alpha }_{2}}+{{\beta }_{2}}t+\varepsilon ,\text{ }c<t\le n \\ \end{align} \right.$ (3)

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    $Q(c)=\sum\limits_{i=1}^{c}{{{[{{y}_{i}}-{{\alpha }_{1}}-{{\beta }_{1}}{{t}_{i}}]}^{2}}+\sum\limits_{c}^{n}{{{[{{y}_{i}}-{{\alpha }_{2}}-{{\beta }_{2}}{{t}_{i}}]}^{2}}}}$ (4)

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    Chi ZHANG, Shaohong WU, Guoyong LENG. Possible NPP changes and risky ecosystem region identification in China during the 21st century based on BCC-CSM2[J]. Journal of Geographical Sciences, 2020, 30(8): 1219
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