Spatio-Temporal Changes in Vegetation Activity and Its Driving Factors during the Growing Season in China from 1982 to 2011

Qü, Bo; Zhu, Wenxiang; Jia, Shaofeng; Lv, Aifeng

doi:10.3390/rs71013729

Cited by 46 publications

(27 citation statements)

References 66 publications

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“…To confirm the 3 g data set in the study area, we also compared the greening trend with previous studies. During 1982–2011, the average growing‐season NDVI (GSNDVI) of the study area exhibited a non‐significant increase, with a trend of 0.00079 year −1 (Qu et al ., ). In the karst region, maximum annual NDVI increased with a non‐significant slope of 0.0002 year −1 during 1982–2003 (Wang et al ., ), whereas GSNDVI increased significantly at a rate of 0.0015 year −1 during 1982–2013 (Hou et al ., ).…”

Section: Discussionmentioning

confidence: 97%

Elevation‐dependent effects of climate change on vegetation greenness in the high mountains of southwest China during 1982–2013

Tao

Jie

et al. 2017

Intl Journal of Climatology

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Effects of climate change on vegetation greenness have attracted considerable attention in the context of global change; however, the dependence of such climatic effects on elevation remains poorly understood. In this study, we examine the relationship between vegetation greenness change and climate change and, in particular, characterize how this relationship changes with elevation in the high mountains of southwest China by using the remotely sensed normalized difference vegetation index (NDVI), and observed temperature and precipitation data sets for the period of 1982–2013. The results show that vegetation exhibited a greening trend (slope: 0.0008 year−1, p < 0.01) under climate warming (slope: 0.04 °C year−1, p < 0.01) and drying (slope: −2.47 mm year−1, p > 0.05). The vegetation greening and climate warming trends were stronger in the higher elevation plateaus than in the lower elevation mountains. Statistical analysis showed that temperature was the main driving factor on vegetation greening, and the driving effect was elevation‐dependent. A substantially more significant correlation between climate warming and vegetation greening was found in the higher elevation plateaus, which reveals a higher temperature sensitivity of these plateaus. In addition, a significant correlation between inter‐annual standard deviations of NDVI and precipitation during 1982–2013 was tracked over the entire study area.

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Section: Discussionmentioning

confidence: 97%

Elevation‐dependent effects of climate change on vegetation greenness in the high mountains of southwest China during 1982–2013

Tao

Jie

et al. 2017

Intl Journal of Climatology

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“…MODIS image time series provide a critically important resource for understanding both the dynamics and the evolution of environmental phenomena (Eastman et al 2013). MODIS data have been widely used in analyses of land cover change over large areas (Zhan et al 2002;Galford et al 2008), vegetation dynamic change and its driving forces in arid and semiarid regions (CampoBescós et al 2013;Li et al 2013;Bao et al 2014;Liu and Lei 2015;Qu et al 2015), and crop mapping and productivity estimation (Wardlow and Egbert, 2008;Mishra and Chaudhuri, 2015). Furthermore, MODIS NDVI time series data have been used to describe regional-scale temporal trends in vegetation by quantifying interannual and seasonal vegetation dynamics (Wardlow and Egbert, 2008;Mishra and Chaudhuri, 2015).…”

Section: Introductionmentioning

confidence: 99%

Using principal component analysis and annual seasonal trend analysis to assess karst rocky desertification in southwestern China

Zhang

Ouyang

Xiao

et al. 2017

Environ Monit Assess

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Increasing exploitation of karst resources is causing severe environmental degradation because of the fragility and vulnerability of karst areas. By integrating principal component analysis (PCA) with annual seasonal trend analysis (ASTA), this study assessed karst rocky desertification (KRD) within a spatial context. We first produced fractional vegetation cover (FVC) data from a moderate-resolution imaging spectroradiometer normalized difference vegetation index using a dimidiate pixel model. Then, we generated three main components of the annual FVC data using PCA. Subsequently, we generated the slope image of the annual seasonal trends of FVC using median trend analysis. Finally, we combined the three PCA components and annual seasonal trends of FVC with the incidence of KRD for each type of carbonate rock to classify KRD into one of four categories based on K-means cluster analysis: high, moderate, low, and none. The results of accuracy assessments indicated that this combination approach produced greater accuracy and more reasonable KRD mapping than the average FVC based on the vegetation coverage standard. The KRD map for 2010 indicated that the total area of KRD was 78.76 × 10 3 km 2 , which constitutes about 4.06% of the eight southwest provinces of China. The largest KRD areas were found in Yunnan province. The combined PCA and ASTA approach was demonstrated to be an easily implemented, robust, and flexible method for the mapping and assessment of KRD, which can be used to enhance regional KRD management schemes or to address assessment of other environmental issues.

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“…As temperatures increased, the date of initiation of the growing season advanced and earlier growth resulted in vegetation covering the land earlier, thus reducing the occurrence of dust storms [87]. However, earlier vegetation growth could increase water stress in the reproductive growth period of water-limited vegetation in the BTSSR [24]. trends for all five subregions recorded slight fluctuations during S 1 .…”

Section: Growing Seasonmentioning

confidence: 96%

“…Following the implementation of this project, more than half of the land in this region has experienced an increase in vegetation productivity during 2000-2010 [23]. Studies on the characteristics of climate change and the response of vegetation cover to weather changes in this region have found that NDVI has recorded a slight increasing trend in the growing season [24,25]. In order to consolidate the results of phase of the Blown-Sand Control Project, and to further reduce sandstorm hazards and construct the northern ecological barrier, phase II has been implemented, spanning the period 2013-2022.…”

Section: Introductionmentioning

confidence: 99%

Temporal Trends and Spatial Patterns of Temperature and Its Extremes over the Beijing-Tianjin Sand Source Region (1960–2014), China

Wei

Wang

Zhang

et al. 2018

Advances in Meteorology

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In order to examine temperature changes and extremes in the Beijing-Tianjin Sand Source Region (BTSSR), ten extreme temperature indices were selected, categorized, and calculated spanning the period 1960-2014, and the spatiotemporal variability and trends of temperature and extremes on multitimescales in the BTSSR were investigated using the Mann-Kendall (M-K) test, Sen's slope estimator, and linear regression. Results show that mean temperatures have increased and extreme temperature events have become more frequent. Annual temperature has recorded a significant increasing trend over the BTSSR, in which 51 stations exhibited significant increasing trends ( < 0.05); winter temperature recorded the most significant increasing trend in the northwest subregion. All extreme temperature indices showed warming trends at most stations; a higher warming slope in extreme temperature mainly occurred along the northeast border and northwest border and in the central-southern mountain area. As extreme low temperature events decrease, vegetation damage due to freezing temperatures will reduce and low cold-tolerant plants may expand their distribution range northward to revegetate barren areas in the BTSSR. However, in water-limited areas of the BTSSR, increasing temperatures in the growing season may exacerbate stress associated with plants relying on precipitation due to higher temperatures combining with decreasing precipitation.

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Spatio-Temporal Changes in Vegetation Activity and Its Driving Factors during the Growing Season in China from 1982 to 2011

Cited by 46 publications

References 66 publications

Elevation‐dependent effects of climate change on vegetation greenness in the high mountains of southwest China during 1982–2013

Elevation‐dependent effects of climate change on vegetation greenness in the high mountains of southwest China during 1982–2013

Using principal component analysis and annual seasonal trend analysis to assess karst rocky desertification in southwestern China

Temporal Trends and Spatial Patterns of Temperature and Its Extremes over the Beijing-Tianjin Sand Source Region (1960–2014), China

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