Evaluating Cumulative Drought Effect on Global Vegetation Photosynthesis Using Numerous GPP Products

Wu, Changlin; Teng-jun, Wang

doi:10.3389/fenvs.2022.908875

Cited by 11 publications

(6 citation statements)

References 82 publications

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“…This aspect reflects that the future GPP of Chinese grasslands will not consistently increase along with rising CO 2 concentration and warming all the time. With the exception of the temperature-constrained Tibetan Plateau, the carbon sequestration capacity of the other grasslands, which are more sensitive to water (especially drought), will be greatly limited in the future (Wu and Wang 2022). On the other hand, we also be seen that accurately simulating the cold-dry Tibetan Plateau GPP in the future will still be quite difficult.…”

Section: Discussionmentioning

confidence: 96%

Uncertainties of gross primary productivity of Chinese grasslands based on multi-source estimation

Han

et al. 2022

Front. Environ. Sci.

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Gross primary productivity (GPP) is an important parameter in the carbon cycle and climate change studies. The results of GPP fluxes estimated based on multiple models or remote sensing vary widely, but current studies of GPP in Chinese grasslands tend to ignore data uncertainty. In this study, uncertainty analysis of GPP datasets estimated based on terrestrial ecosystem models and remote sensing was conducted using cross-validation, standard error statistics, and ensemble empirical modal decomposition. We found that 1) the fit coefficients R2 of two-by-two cross-validation of GPP datasets mostly exceeded 0.8 at the global scale. 2) GPP from different sources were consistent in portraying the spatial and temporal patterns of GPP in Chinese grasslands. However, due to many differences in model structure, parameterization and driving data, some uncertainties still exist, especially in the parts of dry-cold areas where the standard deviations are relatively large. 3) Uncertainties were higher for future scenarios than for historical periods, and GPP uncertainties were much higher for future high-emissions scenarios than for low- and medium-emissions scenarios. This study highlighted the need for uncertainty analysis when GPP is applied to spatio-temporal analysis, and suggested that when comparing and assessing carbon balance conditions, multiple source data sets should be combined to avoid misleading conclusion due to uncertainty.

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Section: Discussionmentioning

confidence: 96%

Uncertainties of gross primary productivity of Chinese grasslands based on multi-source estimation

Han

et al. 2022

Front. Environ. Sci.

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“…As shown in the figure, the resistance value of the EBF to drought was significantly higher than that of the ENF, indicating that EBF has a stronger drought resistance ability in the subtropical region of China, which is consistent with previous studies ( Huang and Xia, 2019 ; Shao et al., 2022 ). The reason may belong to the higher photosynthesis efficiency of EBF than that of ENF during drought ( Wu and Wang, 2022 ). Previous studies found that EBF could accelerate the loss of old leaves and maintain the growth of young leaves to maintain the light use efficiency, and increase the carbon sequestration capability ( Wu et al., 2016 ; Wei et al., 2017 ).…”

Section: Discussionmentioning

confidence: 99%

Spatiotemporal dynamic of subtropical forest carbon storage and its resistance and resilience to drought in China

Yan

Mao

et al. 2023

Front. Plant Sci.

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Subtropical forests are rich in vegetation and have high photosynthetic capacity. China is an important area for the distribution of subtropical forests, evergreen broadleaf forests (EBFs) and evergreen needleleaf forests (ENFs) are two typical vegetation types in subtropical China. Forest carbon storage is an important indicator for measuring the basic characteristics of forest ecosystems and is of great significance for maintaining the global carbon balance. Drought can affect forest activity and may even lead to forest death and the stability characteristics of different forest ecosystems varied after drought events. Therefore, this study used meteorological data to simulate the standardized precipitation evapotranspiration index (SPEI) and the Biome-BGC model to simulate two types of forest carbon storage to quantify the resistance and resilience of EBF and ENF to drought in the subtropical region of China. The results show that: 1) from 1952 to 2019, the interannual drought in subtropical China showed an increasing trend, with five extreme droughts recorded, of which 2011 was the most severe one; 2) the simulated average carbon storage of the EBF and ENF during 1985-2019 were 130.58 t·hm-2 and 78.49 t·hm-2, respectively. The regions with higher carbon storage of EBF were mainly concentrated in central and southeastern subtropics, where those of ENF mainly distributed in the western subtropic; 3) The median of resistance of EBF was three times higher than that of ENF, indicating the EBF have stronger resistance to extreme drought than ENF. Moreover, the resilience of two typical forest to 2011 extreme drought and the continuous drought events during 2009 - 2011 were similar. The results provided a scientific basis for the response of subtropical forests to drought, and indicating that improve stand quality or expand the plantation of EBF may enhance the resistance to drought in subtropical China, which provided certain reference for forest protection and management under the increasing frequency of drought events in the future.

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“…Based on the concept of cumulative effects [28], many scholars have further revealed that the intensity of cumulative climatic effects on vegetation growth varies over different growing seasons [29][30][31][32][33][34]. Specifically, a study conducted in Siberia [29] found that climatic factors exhibit an average cumulative effect of 3.6 months on vegetation growth throughout the entire growing season, with more complex ecosystems showing longer cumulative effects.…”

Section: Introductionmentioning

confidence: 99%

“…In a study conducted in Inner Mongolia [35], it was discovered that temperature and precipitation have a cumulative effect on vegetation growth for up to two months, but the contribution of climatic factors to the current vegetation growth varies depending on the month, with the highest contribution coming from the current month. It has been found that cumulative drought effects impact the photosynthesis process of 52.11% of global vegetation, with an average cumulative duration of 1-4 months [32]. Furthermore, more than three-quarters (78.55%) of grasslands globally are affected by cumulative drought effects, lasting 8-10 months in arid regions of the northern hemisphere (40 • N-55 • N) [31] and 5-10 months in the Qinghai-Tibet Plateau region of China [34].…”

Section: Introductionmentioning

confidence: 99%

Intra-Annual Cumulative Effects and Mechanisms of Climatic Factors on Global Vegetation Biomes’ Growth

Du,

Yan,

Chen

et al. 2024

Remote Sensing

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Previous studies have shown that climate change has significant cumulative effects on vegetation growth. However, there remains a gap in understanding the characteristics of cumulative climatic effects on different vegetation types and the underlying driving mechanisms. In this study, using the normalized difference vegetation index data from 1982 to 2015, along with accumulated temperature, precipitation, and solar radiation data, we quantitatively investigated the intra-annual cumulative effects of climatic factors on global vegetation biomes across climatic zones. We also explored the underlying driving mechanisms. The results indicate that precipitation has a longer intra-annual cumulative effect on vegetation, with effects lasting up to 12 months for large percentages of most vegetation biomes. The cumulative effect of solar radiation is mostly concentrated within 0–6 months. Temperature has a shorter cumulative effect, with no significant cumulative effect of temperature on large percentages of tree-type vegetation. Compared to other vegetation types, evergreen broadleaf forests, close shrublands, open shrublands, savannas, and woody savannas exhibit more complex cumulative climatic effects. Each vegetation type shows a weak-to-moderate correlation with accumulated precipitation while exhibiting strong-to-extremely-strong positive correlations with accumulated temperature and accumulated solar radiation. The climate-induced regulations of water, heat, and nutrient, as well as the intrinsic mechanisms of vegetation’s tolerance, resistance, and adaptation to climate change, account for the significant heterogeneity of cumulative climatic effects across vegetation biomes in different climatic zones. This study contributes to enriching the theoretical understanding of the relationship between vegetation growth and climate change. It also offers crucial theoretical support for developing climate change adaptation strategies and improving future “vegetation-climate” models.

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Evaluating Cumulative Drought Effect on Global Vegetation Photosynthesis Using Numerous GPP Products

Cited by 11 publications

References 82 publications

Uncertainties of gross primary productivity of Chinese grasslands based on multi-source estimation

Uncertainties of gross primary productivity of Chinese grasslands based on multi-source estimation

Spatiotemporal dynamic of subtropical forest carbon storage and its resistance and resilience to drought in China

Intra-Annual Cumulative Effects and Mechanisms of Climatic Factors on Global Vegetation Biomes’ Growth

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