Spatial–temporal change patterns of vegetation coverage in China and its driving mechanisms over the past 20 years based on the concept of geographic division

Sun, Guangqiang; Guo, Bing; Zang, Wenqian; Huang, Xiangzhi; Han, Baomin; Yang, Xiaofan; Chen, Shuting; Wei, Cuixia; Wu, Hongwei

doi:10.1080/19475705.2020.1837967

Cited by 6 publications

(2 citation statements)

References 23 publications

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“…This study found that vegetation in the growing season has different requirements for temperature and precipitation in different months; therefore, the sensitivity to temperature and precipitation is also different. Studies on the relationship between vegetation cover and climate change in China over the past 20 years have also reached a similar conclusion; that is, the maximum correlation coefficient between vegetation cover and climate factors of different land types is delayed by one month (Sun et al, 2020).…”

Section: Discussionmentioning

confidence: 66%

Heterogeneity and non-linearity of ecosystem responses to climate change in the Qilian Mountains National Park, China

Gao

Wen

et al. 2023

J. Arid Land

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Ecosystem responses to climate change, particularly in arid environments, is an understudied topic. This study conducted a spatial analysis of ecosystem responses to short-term variability in temperature, precipitation, and solar radiation in the Qilian Mountains National Park, an arid mountainous region in Northwest China. We collected precipitation and temperature data from the National Science and Technology Infrastructure Platform, solar radiation data from the China Meteorological Forcing Dataset, and vegetation cover remote-sensing data from the Moderate Resolution Imaging Spectroradiometer. We used the vegetation sensitivity index to identify areas sensitive to climate change and to determine which climatic factors were significant in this regard. The findings revealed a high degree of heterogeneity and non-linearity of ecosystem responses to climate change. Four types of heterogeneity were identified: longitude, altitude, ecosystem, and climate disturbance. Furthermore, the characteristics of nonlinear ecosystem responses to climate change included: (1) inconsistency in the controlling climatic factors for the same ecosystems in different geographical settings; (2) the interaction between different climatic factors results in varying weights that affect ecosystem stability and makes them difficult to determine; and (3) the hysteresis effect of vegetation increases the uncertainty of ecosystem responses to climate change. The findings are significant because they highlight the complexity of ecosystem responses to climate change. Furthermore, the identification of areas that are particularly sensitive to climate change and the influencing factors has important implications for predicting and managing the impacts of climate change on ecosystems, which can help protect the stability of ecosystems in the Qilian Mountains National Park.

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Section: Discussionmentioning

confidence: 66%

Heterogeneity and non-linearity of ecosystem responses to climate change in the Qilian Mountains National Park, China

Gao

Wen

et al. 2023

J. Arid Land

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“…In 1989, Davis first proposed the lag effect of vegetation on climate change (greenhouse warming) [6]. Subsequently, scholars have done a lot of related studies [7][8][9][10]. Wu et al found that regarding the time-lag effects, the climatic factors explained 64% variation of the global vegetation growth, which was 11% relatively higher than the model-ignoring time-lag effects [1].…”

Section: Introductionmentioning

confidence: 99%

Time-Lag Effect of Vegetation Response to Volumetric Soil Water Content: A Case Study of Guangdong Province, Southern China

Wang

Yang

et al. 2022

Remote Sensing

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The content of soil water affects the physiological activities of vegetation, and the type of vegetation also affects the soil water balance. It is of great significance to study the response of vegetation to soil moisture change, which is helpful for understanding the vulnerability of vegetation for regional and environmental protections. The response of vegetation to soil moisture in Guangdong Province from mid-October 2015 to the end of March 2017 was studied by using cloudy region drought index (CRDI) as the drought index and volumetric soil water content (VSWC) as the soil moisture index to measure the level of water stress on vegetation. Taking the peak and valley positions of CRDI and VSWC as characteristic points, the lag time of vegetation to volumetric soil water content was obtained by judging the difference between the peak and valley positions of the two indexes. The results indicate that the response of vegetation to volumetric soil water content in Guangdong lagged 3.33 periods (9–35 days) on average. When VSWC is sufficient, there is no obvious difference in time-lag between different types of vegetation. However, when VSWC is relatively insufficient, grass shows the fastest response to the change of volumetric soil water content. Both longitude and soil moisture affect the lag time of vegetation. Under the same conditions, the higher the soil humidity is, the longer the lag time is, and the longer the delay time is with the greater longitude. CRDI can reflect the time-lag effect between vegetation and VSWC in Guangdong, indicating it is a sensitive and applicable index for characterizing the time-lag phenomena of vegetation to soil moisture.

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Spatial patterns and driving forces of urban vegetation greenness in China: A case study comprising 289 cities

Jin,

Wang,

Zong

et al. 2024

Geography and Sustainability

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Spatial–temporal change patterns of vegetation coverage in China and its driving mechanisms over the past 20 years based on the concept of geographic division

Abstract: (2020) Spatial-temporal change patterns of vegetation coverage in China and its driving mechanisms over the past 20 years based on the concept of geographic division,

Cited by 6 publications

References 23 publications

Heterogeneity and non-linearity of ecosystem responses to climate change in the Qilian Mountains National Park, China

Heterogeneity and non-linearity of ecosystem responses to climate change in the Qilian Mountains National Park, China

Time-Lag Effect of Vegetation Response to Volumetric Soil Water Content: A Case Study of Guangdong Province, Southern China

Spatial patterns and driving forces of urban vegetation greenness in China: A case study comprising 289 cities

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