NDVI-based vegetation dynamics and its response to climate changes at Amur-Heilongjiang River Basin from 1982 to 2015

Chu, Hongshuai; Venevsky, Sergey; Wu, Chao; Wang, Menghui

doi:10.1016/j.scitotenv.2018.09.115

Cited by 335 publications

(204 citation statements)

References 55 publications

Supporting

Mentioning

150

Contrasting

Unclassified

Order By: Relevance

“…The univariate linear regression formula was used to detect the variation trends. Spatial differences were observed in the series of NDVI change trends in recent few decades on the Loess Plateau, and the trend of each pixel NDVI can be simulated using the univariate linear regression [12,19,41,42]. This gradient is calculated as follows:…”

Section: Variation Trendsmentioning

confidence: 99%

Vegetation Restoration and Its Environmental Effects on the Loess Plateau

Zhao

Wang

et al. 2018

Sustainability

View full text Add to dashboard Cite

An analysis of land use/cover change (LUCC) on the Loess Plateau over the past 30 years and its environmental effects was performed to provide scientific guidance for a sustainable development policy for the regional ecological environment and social economy. Geostatistical and trend analyses are used to study the LUCC characteristics, driving forces and environmental effects, and the relationship between LUCC and regional sustainable development is explored. The following results were obtained: (1) Overall, the land use structure has not changed, with grassland, farmland, and forest land remaining dominant; however, the vegetation coverage has significantly increased, especially in the central area.(2) LUCC is affected by climate change and human activities, with greater climate change impacts in the northwest than the southeast and greater among which human-induced impacts on the hilly/gully region in the central part. (3) LUCC will produce long-term ecological and environmental processes, such as surface runoff, soil erosion, soil moisture and carbon cycling. Vegetation restoration has both negative and positive effects on the regional ecological environment. Vegetation productivity on the Loess Plateau has approached the water resource carrying capacity threshold. Therefore, improving artificial vegetation stability and promoting the water resources balance have become the main strategies for promoting sustainable development on the Loess Plateau.

show abstract

Section: Variation Trendsmentioning

confidence: 99%

Vegetation Restoration and Its Environmental Effects on the Loess Plateau

Zhao

Wang

et al. 2018

Sustainability

View full text Add to dashboard Cite

show abstract

“…The normalized difference vegetation index (NDVI) is strongly related to chlorophyll content and leaf area, and has been suggested as a useful predictor of vegetation activity [18,19]. Especially, the NDVI dataset from the Global Inventory Modeling and Mapping Studies (GIMMS), which has been proven to be the longest remotely sensed time series data, could provide unique opportunities for the exploration of long-term vegetation variability [11,20].…”

Section: Introductionmentioning

confidence: 99%

Revealing the Fingerprint of Climate Change in Interannual NDVI Variability among Biomes in Inner Mongolia, China

et al. 2020

View full text Add to dashboard Cite

An understanding of the response of interannual vegetation variations to climate change is critical for the future projection of ecosystem processes and developing effective coping strategies. In this study, the spatial pattern of interannual variability in the growing season normalized difference vegetation index (NDVI) for different biomes and its relationships with climate variables were investigated in Inner Mongolia during 1982-2015 by jointly using linear regression, geographical detector, and geographically weighted regression methodologies. The result showed that the greatest variability of the growing season NDVI occurred in typical steppe and desert steppe, with forest and desert most stable. The interannual variability of NDVI differed monthly among biomes, showing a time gradient of the largest variation from northeast to southwest. NDVI interannual variability was significantly related to that of the corresponding temperature and precipitation for each biome, characterized by an obvious spatial heterogeneity and time lag effect marked in the later period of the growing season. Additionally, the large slope of NDVI variation to temperature for desert implied that desert tended to amplify temperature variations, whereas other biomes displayed a capacity to buffer climate fluctuations. These findings highlight the relationships between vegetation variability and climate variability, which could be used to support the adaptive management of vegetation resources in the context of climate change.

show abstract

“…The hydro-climatic effects on regional vegetation state tend to exhibit hysteresis (Piao et al 2014), and the intervals between two breakpoints vary from three to ten years according to regime shift detection results on the four variables. Thus partial correlation analysis was performed between NDVI and either TEM, PRE, and STF when the other two were fixed, employing a five-year moving window (e.g., the partial correlation coefficient of the year 2005 represents a moving window from 2003 to 2007) (Chu et al 2019). Observed data were used to calculate their correlations in spring (March-May), summer (June-August), and autumn (September-November).…”

Section: Correlation Analysis Between Ndvi Dynamics and Hydro-climatimentioning

confidence: 99%

“…Vegetation plays a central role in stabilizing the Earth ecosystem and maintaining human environments (Zhu and Southworth 2013, Hu and Xia 2019, Chu et al 2019. Vegetation dynamics constitute a sensitive indicator for the status of ecosystems and are closely related to climate change, hydrological regime, and human activities (John et al 2013, Guo et al 2017.…”

Section: Introductionmentioning

confidence: 99%

Regime shift of the hydroclimate–vegetation system in the Yellow River Delta of China from 1982 through 2015

Niu

Zhang

et al. 2020

Environ. Res. Lett.

View full text Add to dashboard Cite

The Yellow River Delta (YRD) has been experiencing substantial climatic, hydrological, and anthropogenic stresses, and a sound understanding of the regime shift in its hydroclimate-vegetation system is of fundamental importance for maintaining the health and stability of its regional ecosystems. This study constructs and analyzes a 34-year-dataset (1982-2015) of hydro-climatic variables and satellite-based Normalized Difference Vegetation Index (NDVI) in the YRD. A seasonaltrend decomposition technique based on loess (STL), and a structural change analysis were coupled to detect regime shifts of regional hydroclimate and vegetation in the YRD from 1982 through to 2015. During this period the YRD exhibited a significant warmer-drier-greening trend and experienced four regime shifts of its hydroclimate-vegetation system, with the four shift periods roughly centered in 1989, 1998, 2004, and 2012. Partial correlation analysis revealed that temperature was the dominant factor promoting vegetative growth in spring and autumn (all P NDVI-TEM greater than 0.65), and streamflow impacted the NDVI mainly in summer. Temperature and precipitation were the dominant controls of vegetative growth during the growing season prior to 2002, and thereafter precipitation and streamflow alternately became the main moisture-influencing factors of vegetative growth. Streamflow played an important complementary role on vegetative growth, particularly in near riverine areas when drought exceeds a certain threshold. Additionally, climate shifts determined the changing trend of NDVI across the region, while the effect of land use change is localized and predominant in the northeastern part of the study region. These findings offer an insight into appropriate water regulation of the Yellow River and on climatic adaptation within the YRD.

show abstract

NDVI-based vegetation dynamics and its response to climate changes at Amur-Heilongjiang River Basin from 1982 to 2015

Cited by 335 publications

References 55 publications

Vegetation Restoration and Its Environmental Effects on the Loess Plateau

Vegetation Restoration and Its Environmental Effects on the Loess Plateau

Revealing the Fingerprint of Climate Change in Interannual NDVI Variability among Biomes in Inner Mongolia, China

Regime shift of the hydroclimate–vegetation system in the Yellow River Delta of China from 1982 through 2015

Contact Info

Product

Resources

About