Underestimated Interannual Variability of Terrestrial Vegetation Production by Terrestrial Ecosystem Models

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Underestimated Interannual Variability of Terrestrial Vegetation Production by Terrestrial Ecosystem Models. / Lin, Shangrong; Hu, Zhongmin; Wang, Yingping; Chen, Xiuzhi; He, Bin; Song, Zhaoliang; Sun, Shaobo; Wu, Chaoyang; Zheng, Yi; Xia, Xiaosheng; Liu, Liyang; Tang, Jing; Sun, Qing; Joos, Fortunat; Yuan, Wenping.

In: Global Biogeochemical Cycles, Vol. 37, No. 4, e2023GB007696, 2023.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Lin, S, Hu, Z, Wang, Y, Chen, X, He, B, Song, Z, Sun, S, Wu, C, Zheng, Y, Xia, X, Liu, L, Tang, J, Sun, Q, Joos, F & Yuan, W 2023, 'Underestimated Interannual Variability of Terrestrial Vegetation Production by Terrestrial Ecosystem Models', Global Biogeochemical Cycles, vol. 37, no. 4, e2023GB007696. https://doi.org/10.1029/2023GB007696

APA

Lin, S., Hu, Z., Wang, Y., Chen, X., He, B., Song, Z., Sun, S., Wu, C., Zheng, Y., Xia, X., Liu, L., Tang, J., Sun, Q., Joos, F., & Yuan, W. (2023). Underestimated Interannual Variability of Terrestrial Vegetation Production by Terrestrial Ecosystem Models. Global Biogeochemical Cycles, 37(4), [e2023GB007696]. https://doi.org/10.1029/2023GB007696

Vancouver

Lin S, Hu Z, Wang Y, Chen X, He B, Song Z et al. Underestimated Interannual Variability of Terrestrial Vegetation Production by Terrestrial Ecosystem Models. Global Biogeochemical Cycles. 2023;37(4). e2023GB007696. https://doi.org/10.1029/2023GB007696

Author

Lin, Shangrong ; Hu, Zhongmin ; Wang, Yingping ; Chen, Xiuzhi ; He, Bin ; Song, Zhaoliang ; Sun, Shaobo ; Wu, Chaoyang ; Zheng, Yi ; Xia, Xiaosheng ; Liu, Liyang ; Tang, Jing ; Sun, Qing ; Joos, Fortunat ; Yuan, Wenping. / Underestimated Interannual Variability of Terrestrial Vegetation Production by Terrestrial Ecosystem Models. In: Global Biogeochemical Cycles. 2023 ; Vol. 37, No. 4.

Bibtex

@article{2d597a45333d447db33559e034471b3b,
title = "Underestimated Interannual Variability of Terrestrial Vegetation Production by Terrestrial Ecosystem Models",
abstract = "Vegetation gross primary production (GPP) is the largest terrestrial carbon flux and plays an important role in regulating the carbon sink. Current terrestrial ecosystem models (TEMs) are indispensable tools for evaluating and predicting GPP. However, to which degree the TEMs can capture the interannual variability (IAV) of GPP remains unclear. With large data sets of remote sensing, in situ observations, and predictions of TEMs at a global scale, this study found that the current TEMs substantially underestimate the GPP IAV in comparison to observations at global flux towers. Our results also showed the larger underestimations of IAV in GPP at nonforest ecosystem types than forest types, especially in arid and semiarid grassland and shrubland. One cause of the underestimation is that the IAV in GPP predicted by models is strongly dependent on canopy structure, that is, leaf area index (LAI), and the models underestimate the changes of canopy physiology responding to climate change. On the other hand, the simulated interannual variations of LAI are much less than the observed. Our results highlight the importance of improving TEMs by precisely characterizing the contribution of canopy physiological changes on the IAV in GPP and of clarifying the reason for the underestimated IAV in LAI. With these efforts, it may be possible to accurately predict the IAV in GPP and the stability of the global carbon sink in the context of global climate change.",
keywords = "GPP, interannual variability, LAI, terrestrial ecosystem model",
author = "Shangrong Lin and Zhongmin Hu and Yingping Wang and Xiuzhi Chen and Bin He and Zhaoliang Song and Shaobo Sun and Chaoyang Wu and Yi Zheng and Xiaosheng Xia and Liyang Liu and Jing Tang and Qing Sun and Fortunat Joos and Wenping Yuan",
note = "Publisher Copyright: {\textcopyright} 2023 The Authors.",
year = "2023",
doi = "10.1029/2023GB007696",
language = "English",
volume = "37",
journal = "Global Biogeochemical Cycles",
issn = "0886-6236",
publisher = "Wiley-Blackwell",
number = "4",

}

RIS

TY - JOUR

T1 - Underestimated Interannual Variability of Terrestrial Vegetation Production by Terrestrial Ecosystem Models

AU - Lin, Shangrong

AU - Hu, Zhongmin

AU - Wang, Yingping

AU - Chen, Xiuzhi

AU - He, Bin

AU - Song, Zhaoliang

AU - Sun, Shaobo

AU - Wu, Chaoyang

AU - Zheng, Yi

AU - Xia, Xiaosheng

AU - Liu, Liyang

AU - Tang, Jing

AU - Sun, Qing

AU - Joos, Fortunat

AU - Yuan, Wenping

N1 - Publisher Copyright: © 2023 The Authors.

PY - 2023

Y1 - 2023

N2 - Vegetation gross primary production (GPP) is the largest terrestrial carbon flux and plays an important role in regulating the carbon sink. Current terrestrial ecosystem models (TEMs) are indispensable tools for evaluating and predicting GPP. However, to which degree the TEMs can capture the interannual variability (IAV) of GPP remains unclear. With large data sets of remote sensing, in situ observations, and predictions of TEMs at a global scale, this study found that the current TEMs substantially underestimate the GPP IAV in comparison to observations at global flux towers. Our results also showed the larger underestimations of IAV in GPP at nonforest ecosystem types than forest types, especially in arid and semiarid grassland and shrubland. One cause of the underestimation is that the IAV in GPP predicted by models is strongly dependent on canopy structure, that is, leaf area index (LAI), and the models underestimate the changes of canopy physiology responding to climate change. On the other hand, the simulated interannual variations of LAI are much less than the observed. Our results highlight the importance of improving TEMs by precisely characterizing the contribution of canopy physiological changes on the IAV in GPP and of clarifying the reason for the underestimated IAV in LAI. With these efforts, it may be possible to accurately predict the IAV in GPP and the stability of the global carbon sink in the context of global climate change.

AB - Vegetation gross primary production (GPP) is the largest terrestrial carbon flux and plays an important role in regulating the carbon sink. Current terrestrial ecosystem models (TEMs) are indispensable tools for evaluating and predicting GPP. However, to which degree the TEMs can capture the interannual variability (IAV) of GPP remains unclear. With large data sets of remote sensing, in situ observations, and predictions of TEMs at a global scale, this study found that the current TEMs substantially underestimate the GPP IAV in comparison to observations at global flux towers. Our results also showed the larger underestimations of IAV in GPP at nonforest ecosystem types than forest types, especially in arid and semiarid grassland and shrubland. One cause of the underestimation is that the IAV in GPP predicted by models is strongly dependent on canopy structure, that is, leaf area index (LAI), and the models underestimate the changes of canopy physiology responding to climate change. On the other hand, the simulated interannual variations of LAI are much less than the observed. Our results highlight the importance of improving TEMs by precisely characterizing the contribution of canopy physiological changes on the IAV in GPP and of clarifying the reason for the underestimated IAV in LAI. With these efforts, it may be possible to accurately predict the IAV in GPP and the stability of the global carbon sink in the context of global climate change.

KW - GPP

KW - interannual variability

KW - LAI

KW - terrestrial ecosystem model

U2 - 10.1029/2023GB007696

DO - 10.1029/2023GB007696

M3 - Journal article

AN - SCOPUS:85153849558

VL - 37

JO - Global Biogeochemical Cycles

JF - Global Biogeochemical Cycles

SN - 0886-6236

IS - 4

M1 - e2023GB007696

ER -

ID: 346046994