Remote sensing of the impact of flash drought events on terrestrial carbon dynamics over China

Zhang, Miao; Yuan, Xing; Otkin, Jason A.

doi:10.1186/s13021-020-00156-1

Cited by 45 publications

(27 citation statements)

References 45 publications

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“…Vegetation is a key component of terrestrial ecosystem and a major link between the atmosphere, water and soil [80,81]. Drought risk can have a decisive impact on the vegetation of terrestrial ecosystems [82][83][84]. Quantifying the effects of drought on vegetation plays a critical role in sustainable management of terrestrial ecosystems [85].…”

Section: Discussionmentioning

confidence: 99%

Vegetation Drought Vulnerability Mapping Using a Copula Model of Vegetation Index and Meteorological Drought Index

et al. 2021

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Since vegetation is closely related to a variety of hydrological factors, the vegetation condition during a drought is greatly affected by moisture supply or moisture demand from the atmosphere. However, since feedback between vegetation and climate in the event of drought is very complex, it is necessary to construct a joint probability distribution that can describe and investigate the interrelationships between them. In other words, it is required to understand the interaction between vegetation and climate in terms of joint probability. In this study, the possibility of drought stress experienced by vegetation under various conditions occurring during drought was investigated by dividing drought into two aspects (atmospheric moisture supply and moisture demand). Meteorological drought indices that explain different aspects of drought and vegetation-related drought indexes that describe the state of vegetation were estimated using data remotely sensed by satellites in parts of Far East Asia centered on South Korea. Bivariate joint probability distribution modeling was performed from vegetation drought index and meteorological drought index using Copula. It was found that the relationship between the vegetation drought index and the meteorological drought index has regional characteristics and there is also a seasonal change. From the copula-based model, it was possible to quantify the conditional probability distribution for the drought stress of vegetation under meteorological drought scenarios that occur from different causes. Through this, by mapping the vulnerability of vegetation to meteorological drought in the study area, it was possible to spatially check how the vegetation responds differently depending on the season and meteorological causes. The probabilistic mapping of vegetation vulnerability to various aspects of meteorological drought may provide useful information for establishing mitigation strategies for ecological drought.

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Section: Discussionmentioning

confidence: 99%

Vegetation Drought Vulnerability Mapping Using a Copula Model of Vegetation Index and Meteorological Drought Index

et al. 2021

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“…Because flash drought is more likely to occur during the growing season when evaporative demand is high [10], it can lead to sharply lower crop yields and damage to natural ecosystems [11][12][13]. For example, a rapid transition toward severe drought across the southeastern US in the fall of 2016 led to numerous wildfires, most notably represented by the devastating fires near Gatlinburg, Tennessee in late November [14].…”

Section: Introductionmentioning

confidence: 99%

Development of a Flash Drought Intensity Index

et al. 2021

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Flash droughts are characterized by a period of rapid intensification over sub-seasonal time scales that culminates in the rapid emergence of new or worsening drought impacts. This study presents a new flash drought intensity index (FDII) that accounts for both the unusually rapid rate of drought intensification and its resultant severity. The FDII framework advances our ability to characterize flash drought because it provides a more complete measure of flash drought intensity than existing classification methods that only consider the rate of intensification. The FDII is computed using two terms measuring the maximum rate of intensification (FD_INT) and average drought severity (DRO_SEV). A climatological analysis using soil moisture data from the Noah land surface model from 1979–2017 revealed large regional and interannual variability in the spatial extent and intensity of soil moisture flash drought across the US. Overall, DRO_SEV is slightly larger over the western and central US where droughts tend to last longer and FD_INT is ~75% larger across the eastern US where soil moisture variability is greater. Comparison of the FD_INT and DRO_SEV terms showed that they are strongly correlated (r = 0.82 to 0.90) at regional scales, which indicates that the subsequent drought severity is closely related to the magnitude of the rapid intensification preceding it. Analysis of the 2012 US flash drought showed that the FDII depiction of severe drought conditions aligned more closely with regions containing poor crop conditions and large yield losses than that captured by the intensification rate component (FD_INT) alone.

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“…For instance, in North China, the increased drought frequency resulting from enhanced evapotranspiration and decreased SM due to vegetation greening (M. may strengthen the coupling between vegetation and SM. As drought frequency, intensity, and duration increase, vegetation becomes more sensitive to SM, requiring it to sustain growth (Schlaepfer et al, 2017;M. Zhang et al, 2020), resulting in a stronger correlation between vegetation and SM.…”

Section: Discussionmentioning

confidence: 99%

Enhanced Dependence of China's Vegetation Activity on Soil Moisture Under Drier Climate Conditions

Zhao

Wang

et al. 2023

JGR Biogeosciences

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Vegetation plays a crucial role in modulating water, carbon, and energy interactions between the land and atmosphere (Humphrey et al., 2018;Seddon et al., 2016). At the same time, vegetation also largely determines the status of ecosystems through its provisioning of ecosystem services for living organisms and carbon dioxide (CO 2 ) uptake (Piao et al., 2015). The latter is key for mitigating climate change by absorbing human-emitted CO 2 (Gentine et al., 2019). The growth of vegetation is largely determined by the availability of soil moisture (SM), especially in water-limited regions, such as arid and semiarid regions (Stocker et al., 2019;Zhao et al., 2019). Under a warming climate, SM has declined in many regions of the world due to decreased precipitation and increased water demand by the atmosphere induced by increased air temperature (Deng et al., 2020a;Jung et al., 2010). In this context, less SM combined with increased drought frequency (Dai, 2012;Zhao et al., 2022c) may drive vegetation to be more soil-water dependent (Berg & Sheffield, 2018). Quantifying and understanding the dependence of vegetation on SM under current climate warming will greatly help in ecosystem management when facing future warming climates.Past studies have documented a tight positive relationship between SM and vegetation in water-limited regions (H.

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Remote sensing of the impact of flash drought events on terrestrial carbon dynamics over China

Cited by 45 publications

References 45 publications

Vegetation Drought Vulnerability Mapping Using a Copula Model of Vegetation Index and Meteorological Drought Index

Vegetation Drought Vulnerability Mapping Using a Copula Model of Vegetation Index and Meteorological Drought Index

Development of a Flash Drought Intensity Index

Enhanced Dependence of China's Vegetation Activity on Soil Moisture Under Drier Climate Conditions

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