Responses of vegetation greenness and carbon cycle to extreme droughts in China

Deng, Ying; Wang, Xuhui; Wang, Kai; Ciais, Philippe; Tang, Shuchang; Jin, Lei; Liu, Lili; Piao, Shilong

doi:10.1016/j.agrformet.2020.108307

Cited by 62 publications

(33 citation statements)

References 66 publications

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“…A multi‐timescale SPEI data set at a spatial resolution of 0.5° during 1901–2018 was used in this study (Vicente‐Serrano, Begueria, Lopez‐Moreno, et al, 2010; Vicente‐Serrano, Begueria & Lopez‐Moreno, 2010). This SPEI data set has been widely used in drought monitoring and in climate change and ecological research (Deng et al, 2021; Greve et al, 2014; Poonia et al, 2021; Zscheischler et al, 2018). The method of calculating SPEI and the usefulness of this index at different timescales as the proxy of cumulative effect of drought are shown in the Supporting Information.…”

Section: Methodsmentioning

confidence: 99%

Revisiting the cumulative effects of drought on global gross primary productivity based on new long‐term series data (1982–2018)

Zhang

Zhou

et al. 2022

Global Change Biology

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Drought has broad and deep impacts on vegetation. Studies on the effects of drought on vegetation have been conducted over years. Recently, the cumulative effect of drought is recognized as another key factor affecting plant growth. However, globalscale studies on this phenomenon are still lacking. Thus, based on new satellite based gross primary productivity (GPP) and multi-temporal scale Standardized Precipitation Evapotranspiration Index data sets, we explored the cumulative effect duration (CED) of drought on global vegetation GPP and analyzed its variability across elevations and climatic zones. The main findings were as follows: (1) The cumulative effect of drought on GPP was widespread, with an average CED of 4.89 months. (2) CED of drought on GPP varied among vegetation types. Specifically, grasslands showed the longest duration, with an average value of 5.28 months, followed by shrublands (5.09 months), wetlands (5.03 months), croplands (4.85 months), savannas (4.58 months), and forestlands (4.57 months). (3) CED of drought on GPP changes with climate conditions. It decreased with the decrease of precipitation in the driest month (P dry ) and mean annual precipitation in tropical and arid climate zones, respectively. In both temperate and cold climate zones, CED of drought on GPP was shorter in areas with dry winter than that in areas with dry summer. It increased with the decrease of mean annual air temperature in tropical climate zones and decreased with the increase of summer temperature in temperate and cold climatic zones. (4) With increasing elevation, CED of drought on GPP showed a pattern of increasing (0-3000 m), then decreasing (3000-5000 m), and increasing again (>5000 m). Our findings highlight the heterogeneity of CED of drought on GPP, owing to differences in vegetation types, long-term hydrothermal conditions, elevation, etc. The results could deepen our understanding of the effects of drought on global vegetation.

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Section: Methodsmentioning

confidence: 99%

Revisiting the cumulative effects of drought on global gross primary productivity based on new long‐term series data (1982–2018)

Zhang

Zhou

et al. 2022

Global Change Biology

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“…The Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR6) reported that higher temperature and lower humidity, as well as stronger radiation, have caused an increasing demand for atmospheric moisture-that is, saturated vapor pressure difference (VPD) increases-further enhancing the terrestrial E. In Figure 5, it is clear that T has a vital effect on Ea and Et, so rising temperature plays a key role in the increase of E in recent years. In addition, drought and heatwave have strong negative effects on vegetation growth and they greatly reduce vegetation greenness (Deng et al, 2021;T. Yang et al, 2020).…”

Section: Synergistic Effects Of Ecological Restoration Projects and C...mentioning

confidence: 99%

Effects of Vegetation Changes and Multiple Environmental Factors on Evapotranspiration Across China Over the Past 34 Years

Zheng

Miao

et al. 2022

Earth's Future

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Documenting the spatiotemporal changes in vegetation cover and hydrological cycle of the Earth system and understanding how they interact are important especially under climate warming. In this research, we quantified the changes in vegetation and evapotranspiration (E) across China during 1982–2015 and then revealed the complex relationships in climate–vegetation–evapotranspiration system. Results show that the upward trend in vegetation leaf area index (LAI) during 2000–2015 (an increase of 0.95% per year) was almost 8 times the trend during 1982–1999. The zones of the Loess Plateau and the Three‐North Shelter Forest Program are the most notable areas for LAI increases between these two periods, with increases of 11.65% and 2.87%, respectively. Increased LAI, along with the warming climate, has accelerated E across China in the past several decades, and the annual increase in the E rate was 0.34% (1.34 mm year−1) during 1982–1999 and 0.40% (1.62 mm year−1) during 2000–2015. The zones of the Loess Plateau and the karst landform are the most notable areas for transpiration increases, with individual increases of 10% and 5%, respectively. In general, the dominant causes for evaporation changes across all of China are temperature and precipitation, while the main reasons for transpiration changes include temperature, LAI, and sunshine duration. This study improves our understanding of the relationships within the climate–vegetation–evapotranspiration system and provides important support for future ecological policies across China.

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“…Instead, we used a machine-learning method-model tree ensemble (MTE) [18]-to generate regional GPP from in situ flux measurements [20]. This method has been validated and used for regional to global carbon uptake analysis [16,21]. This GPP (hereafter MTE-GPP) was simulated at a spatial resolution of 0.1 degree and monthly temporal resolution, from 1981 to 2015.…”

Section: Model Tree Ensemble Gppmentioning

confidence: 99%

Forest Resistance and Resilience to 2002 Drought in Northern China

Yao

Yin

et al. 2021

Remote Sensing

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Drought can weaken forest activity and even lead to forest mortality, and the response of different forest types to drought can be diverse. Deciduous broadleaf forest (DBF) and deciduous needleleaf forest (DNF) are two of the majority forest types in northern China. In this region, a severe drought event happened in 2002. However, due to the lack of data, the spatio-temporal characteristics of the ecosystem stability of different forest types here remain unclear. In this study, we used a machine learning approach (model tree ensemble, MTE) to drive fluxsite gross primary productivity (GPP), combined with remote sensing-based GPP and a vegetation index data (EVI), to analyze the spatial and temporal characteristics of resistance and resilience of DNF and DBF in northern China during and after the 2002 drought. The results showed that the DBFs were more acclimatized to the drought, while the resistance and resilience of DNF and DBF were diverse under different consecutive drought events. These results could be suggestive for forest conservation and vegetation modeling.

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Responses of vegetation greenness and carbon cycle to extreme droughts in China

Cited by 62 publications

References 66 publications

Revisiting the cumulative effects of drought on global gross primary productivity based on new long‐term series data (1982–2018)

Revisiting the cumulative effects of drought on global gross primary productivity based on new long‐term series data (1982–2018)

Effects of Vegetation Changes and Multiple Environmental Factors on Evapotranspiration Across China Over the Past 34 Years

Forest Resistance and Resilience to 2002 Drought in Northern China

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