Effect of climate change on vegetation phenology of different land-cover types on the Tibetan Plateau

Cheng, Min; Jin, Jiaxin; Zhang, Jinmeng; Jiang, Hong; Wang, Ruizheng

doi:10.1080/01431161.2017.1387308

Cited by 38 publications

(31 citation statements)

References 54 publications

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“…Zhang et al (2013) reported the green-up dates advanced on average by 1.04 day year −1 from 1982 to 2011, which was consistent with observed warming in springs and winters (Zhang et al, 2013;Zhang et al, 2015). Cheng et al highlights the phenological property with an advancing green-up date for meadow in the eastern Tibetan Plateau from 1982 to 2014 (Cheng et al, 2018). Wang et al found that the green-up date of grassland in QTP primarily advanced with values of 0-2 days from 1985 to 2010 .…”

Section: Introductionsupporting

confidence: 60%

VARIATION IN GREEN-UP DATE OF KOBRESIA PYGMAEA ALPINE MEADOW IN QINGHAI-TIBETAN PLATEAU DURING 1961–2016

Fan

Zhao

Sun

et al. 2020

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Vegetation phenology in Qinghai-Tibetan Plateau (QTP) has been proved to be more sensitive to climate change. The previous researches have reported divergent phonological responses of alpine vegetation in QTP from the analyses of remote sensing data, thus the demand for further analysis based on long-term observed vegetation data becomes more urgent. In the lack of long-term remote sensing monitoring data and ground observation data, phenology model simulation can be used as an effective remedy. In this study, we used a phenology model (unified model, UM) to simulate the green-up date for Kobresia pygmaea alpine meadow, and model evaluation shows that the unified model is able to make reasonable estimation for green-up date derived from satellite observations. Based on the phenology model and its parameters, spatial and temporal changes in green-up dates for Kobresia pygmaea alpine meadow in QTP from 1961 to 2016 were simulated, the results indicated that, the variation in green-up date presented an overall insignificant temporal trend with obvious spatial differences; furthermore, complex stage characteristics about the variation in green-up date were also clearly revealed, the period from 1991 to 2005 could be considered as a turning point, before which the trend was mainly in advan1ce and after which the trend was mainly in delay.

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Section: Introductionsupporting

confidence: 60%

VARIATION IN GREEN-UP DATE OF KOBRESIA PYGMAEA ALPINE MEADOW IN QINGHAI-TIBETAN PLATEAU DURING 1961–2016

Fan

Zhao

Sun

et al. 2020

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…The harsh climatic conditions, indicated by the lowest temperature (−3.2 C), the strongest short-wave radiation (263.4 WÁm −2 Ás −1 ), and the shortest LOS (90.5 days) (Figure 7c), may also contribute to their close correlations (Cong et al, 2017;Zu et al, 2018). In addition, both Zhu et al (2017) and Cheng et al (2018) found advanced trends in EOS for woody plants during -2011 this is opposite to the delaying EOS for the shrub in our study. Compared to the remaining three variables, we found that temperature exerted a more important role on EOS, and the warmer autumn is advantageous for a later leaf coloring for the shrub.…”

Section: The Differences Among Vegetation Typesmentioning

confidence: 98%

“…The mean date of EOS occurred later for alpine steppe and alpine meadows from 1982 to 2018 (Che et al, 2014;Zhu et al, 2017;Cheng et al, 2018). Compared to alpine meadows (0.17 daysÁdecade −1 ), the magnitude of the EOS trend was smaller for alpine steppe (0.09 daysÁdecade −1 ), in line with Cheng et al (2018). For alpine steppe, SOS had the dominant control on EOS (66.7%) while other variables showed less impacts, which may be related to the tougher environments (i.e., lower temperature, lowest precipitation, and excessive radiation) and shorter LOS in these areas (Figure 7a) (Cong et al, 2017;Zu et al, 2018).…”

Section: The Differences Among Vegetation Typesmentioning

confidence: 99%

Spring phenology outweighed climate change in determining autumn phenology on the Tibetan Plateau

Peng

Wang

et al. 2021

Intl Journal of Climatology

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As the third pole of the Earth, the Tibetan Plateau (TP) is highly sensitive to climate change. Phenological changes in spring (i.e., the start of the growing season, SOS) over the TP are of much debate, while our understanding on the variation of autumn phenology (i.e., the end of the growing season, EOS) is still lacking. Given the significance of tracing the latest variation of EOS induced by the ongoing global change, we used the currently longest time series of the normalized difference vegetation index of the Long Term Data Record from the Advanced Very High Resolution Radiometer (AVHRR LTDR NDVI) and investigated the responses of EOS to biological and climatic factors. We found that the EOS showed an insignificantly delayed trend at an average rate of 0.14 daysÁdecade −1 on the TP. This variation was found for all vegetation types except for alpine sparse vegetation. We further showed that spring SOS had the largest contribution to the interannual variations in EOS, where 46.5% of the vegetated areas showed significantly positive correlations between SOS and EOS (p < .05). Temperature (26.5%) and precipitation (18.8%) also had significant positive impacts on EOS, while the contribution of radiation was negative (11.3%). These correlations were regulated by local hydrothermal conditions, especially for precipitation gradients. Using the longest satellite data currently available, with the state-of-art data processing, we demonstrated a weakly delaying trend of EOS and the controlling role of spring phenology on the interannual variability of EOS, which is of great significance to improve our comprehension of the interactions between vegetation dynamics and climate change in the future.

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“…A similar conclusion based on species‐level observations was draw in eastern China (Chen et al , ), the TP (Zhu et al , ), and the western United States (Munson and Long, ). On the landscape scale based on the satellite data, a similar conclusion that the warmer temperature accelerated the green‐up of grassland was also reported (Miao et al , ; Cheng et al , ; Wilsey et al , ). From the perspective of the plant physiology, the phenology could respond to the temperature sensitively because plants can precisely sense the absolute and gradual changes in the diurnal and seasonal temperatures with a wide array of thermosensors (Bahuguna and Jagadish, ).…”

Section: Discussionmentioning

confidence: 99%

Effects of multiple climate change factors on the spring phenology of herbaceous plants in Inner Mongolia, China: Evidence from ground observation and controlled experiments

Huang

Wang

et al. 2019

Intl Journal of Climatology

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In a natural ecosystem or as climatic climax community, grassland is relatively dry with a strongly seasonal climate, and sensitive to climatic changes. Most of the previous studies used remote sensing data to investigate the phenological response of grassland to climate change, while ground‐based studies covering a large geographic area were limited. In this study, using the long‐term phenological data (1981–2012) of 16 herbaceous species observed at 20 stations in Inner Mongolia, China, we first investigated the trends in three spring phenophases, including the dates of bud‐burst, first leaf unfolding, and 50% of leaf unfolding. Subsequently, multiple linear regressions between phenophases and four climatic factors (spring temperature, soil moisture, chilling temperature, and insolation) were performed to determine the relative importance of each factor on the spring phenology. To validate the resulted regression coefficients, we developed a controlled environment to investigate the factors regulating the leaf unfolding time of one dominant species (Leymus chinensis). The results showed that the study area became warmer and drier from 1981 to 2012. However, the overall changes in spring phenophases were not apparent, as there was a similar proportion of significant earlier or later trends. Such phenological changes were driven by multiple climatic factors. The warmer temperature would advance the spring phenophases, while lower soil moisture would delay them. The impact of soil moisture was significant in the experimental data, but not significant in the observation data. In addition, leaf unfolding became faster when L. chinensis experienced more chilling days, but this effect was difficult to be detected in observation data due to the weak sensitivity of the leaf unfolding time to chilling days. These findings can help us to understand how the spring phenology of typical herbaceous species responds to multiple climatic factors under the background of climate change.

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Effect of climate change on vegetation phenology of different land-cover types on the Tibetan Plateau

Cited by 38 publications

References 54 publications

VARIATION IN GREEN-UP DATE OF KOBRESIA PYGMAEA ALPINE MEADOW IN QINGHAI-TIBETAN PLATEAU DURING 1961–2016

VARIATION IN GREEN-UP DATE OF KOBRESIA PYGMAEA ALPINE MEADOW IN QINGHAI-TIBETAN PLATEAU DURING 1961–2016

Spring phenology outweighed climate change in determining autumn phenology on the Tibetan Plateau

Effects of multiple climate change factors on the spring phenology of herbaceous plants in Inner Mongolia, China: Evidence from ground observation and controlled experiments

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