On the Variation of NDVI with the Principal Climatic Elements in the Tibetan Plateau

Sun, Jian; Cheng, Guodong; Li, W. P.; Sha, Yukun; Yang, Yongsheng

doi:10.3390/rs5041894

Cited by 128 publications

(91 citation statements)

References 33 publications

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“…However, the NDVI of the alpine desert steppe rose first and then declined sharply, but in recent years, the vegetation cover of the alpine desert steppe gradually became better and better. The same change tendency of NDVI was demonstrated in the study region (Sun et al 2013b). Moreover, our result is in line with the report of Shen et al (2014), which suggested that the mean maximum enhanced vegetation index (EVI) also showed an insignificant decreasing trend over the entire Tibetan Plateau.…”

Section: Spatiotemporal Changes Of Ndvisupporting

confidence: 91%

“…To remove noise from the remote sensing data caused by clouds or weather, the maximum value composite (MVC) method was used as one step in the process. Over the past 32 years, the linear trend coefficient was used to identify the changed tendencies of annual maximum NDVI and climate factors (MAT and MAP) (Sun et al 2013b).…”

Section: Datasets and Analysis Methodsmentioning

confidence: 99%

“…Meanwhile, precipitation has more of a positive correlation than the temperature in these regions. As a matter of fact, precipitation was a critical factor in controlling the primary productivity in most alpine grasslands (Sun et al 2013b). Our findings (Fig.…”

Section: Spatiotemporal Changes Of Ndvimentioning

confidence: 99%

“…Therefore, the vegetation dynamic has a particular function in the global carbon cycle (Piao et al 2006). Some researchers suggested that precipitation plays a more important role than temperature in arid or semi-arid regions like the Tibetan Plateau (Sun et al 2013b). For example, monsoon precipitation controls vegetation distribution in summer (Shen et al 2008).…”

Section: Introductionmentioning

confidence: 99%

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The response of vegetation dynamics of the different alpine grassland types to temperature and precipitation on the Tibetan Plateau

Sun

Qin

Yang

2015

Environ Monit Assess

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The spatiotemporal variability of the Normalized Difference Vegetation Index (NDVI) of three vegetation types (alpine steppe, alpine meadow, and alpine desert steppe) across the Tibetan Plateau was analyzed from 1982 to 2013. In addition, the annual mean temperature (MAT) and annual mean precipitation (MAP) trends were quantified to define the spatiotemporal climate patterns. Meanwhile, the relationships between climate factors and NDVI were analyzed in order to understand the impact of climate change on vegetation dynamics. The results indicate that the maximum of NDVI increased by 0.3 and 0.2 % per 10 years in the entire regions of alpine steppe and alpine meadow, respectively. However, no significant change in the NDVI of the alpine desert steppe has been observed since 1982. A negative relationship between NDVI and MAT was found in all these alpine grassland types, while MAP positively impacted the vegetation dynamics of all grasslands. Also, the effects of temperature and precipitation on different vegetation types differed, and the correlation coefficient for MAP and NDVI in alpine meadow is larger than that for other vegetation types. We also explored the percentages of precipitation and temperature influence on NDVI variation, using redundancy analysis at the observation point scale. The results show that precipitation is a primary limiting factor for alpine vegetation dynamic, rather than temperature. Most importantly, the results can serve as a tool for grassland ecosystem management.

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Section: Spatiotemporal Changes Of Ndvisupporting

confidence: 91%

Section: Datasets and Analysis Methodsmentioning

confidence: 99%

Section: Spatiotemporal Changes Of Ndvimentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The response of vegetation dynamics of the different alpine grassland types to temperature and precipitation on the Tibetan Plateau

Sun

Qin

Yang

2015

Environ Monit Assess

Self Cite

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“…As temperature has increased in China over the past three decades, the stimulation of vegetation growth due to temperature has gradually diminished, and the weakening positive impacts of climate warming on vegetation growth may be partly related to warming-induced soil drying (Trenberth et al, 2007;Piao et al, 2010Piao et al, , 2014Dai, 2011;Peng et al, 2011;Fu et al, 2013) causing by increasing evaporation (Sun et al, 2013). Previous studies have suggested that although warming could enhance forest vegetation growth in South China (Peng et al, 2011), drought has become more common since the 1970s, especially in the tropics and subtropics, and the effect of drought can attenuate the response of NDVI to temperature (Piao et al, 2014).…”

Section: Discussionmentioning

confidence: 99%

Notable shifting in the responses of vegetation activity to climate change in China

Chen

Wang

et al. 2015

Physics and Chemistry of the Earth, Parts A/B/C

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a b s t r a c tThe weakening relationship between inter-annual temperature variability and vegetation activity in the Northern Hemisphere over the last three decades has been reported by a recent study. However, how and to what extent vegetation activity responds to climate change in China is still unclear. We applied the Pearson correlation and partial correlation methods with a moving 15-y window to the GIMMS NDVI dataset from NOAA/AVHRR and observed climate data to examine the variation in the relationships between vegetation activity and climate variables. Results showed that there was an expanding negative response of vegetation growth to climate warming and a positive role of precipitation. The change patterns between NDVI and climate variables over vegetation types during the past three decades pointed an expending negative correlation between NDVI and temperature and a positive role of precipitation over most of the vegetation types (meadow, grassland, shrub, desert, cropland, and forest). Specifically, correlation between NDVI and temperature (P NDVI-T ) have shifted from positive to negative in most of the station of temperature-limited areas with evergreen broadleaf forests, whereas precipitationlimited temperate grassland and desert were characterized by a positive P NDVI-P . This study contributes to ongoing investigations of the effects of climate change on vegetation activity. It is also of great importance for designing forest management strategies to cope with climate change.

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Water Shortage Drives Interactions Between Cushion and Beneficiary Species Along Elevation Gradients in Dry Himalayas

Ale

Zhang

et al. 2018

JGR Biogeosciences

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It is challenging to understand the drivers of plant‐plant interaction patterns in dry mountains. However, such knowledge is important to assess alpine ecosystem resilience to climate change. In water‐limited ecosystems, leaf δ13C and satellite‐derived vegetation index (NDVI) may serve as reliable indicators of environmental severity to address plant responses to water availability. We hypothesized that in dry mountains, interaction intensity between cushion and beneficiary species increases with increasing δ13C and decreasing NDVI regardless of elevation, indicating the importance of water availability in driving plant interactions. We used relative interaction indices (RII) of species and individual numbers within and outside the canopy of three cushion plant species along three elevational transects in dry Himalayas, Nepal. Site‐specific NDVI was calculated from 30 m Landsat images. Thornthwaite moisture index was calculated for each elevation site. We observed nonlinear patterns in RII, δ13C, and NDVI with elevation. Intraspecific variation of δ13C was negatively correlated with moisture index and NDVI, while NDVI across sites was positively correlated with precipitation but not with temperature. RII within a cushion species was positively correlated with δ13C and negatively with NDVI when the effect of elevation was removed. In pooled data across cushion species and sites, RII was negatively correlated with precipitation and NDVI when the effect of temperature was removed. RII was uncorrelated with cushion size under the same environment. Leaf nitrogen showed no correlation with RII or δ13C. Our data show that water shortage is the main driver of plant interactions in the alpine belt of dry Himalayas.

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On the Variation of NDVI with the Principal Climatic Elements in the Tibetan Plateau

Cited by 128 publications

References 33 publications

The response of vegetation dynamics of the different alpine grassland types to temperature and precipitation on the Tibetan Plateau

The response of vegetation dynamics of the different alpine grassland types to temperature and precipitation on the Tibetan Plateau

Notable shifting in the responses of vegetation activity to climate change in China

Water Shortage Drives Interactions Between Cushion and Beneficiary Species Along Elevation Gradients in Dry Himalayas

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