2018
DOI: 10.1111/gcb.14432
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Mismatch in elevational shifts between satellite observed vegetation greenness and temperature isolines during 2000–2016 on the Tibetan Plateau

Abstract: Climate warming on the Tibetan Plateau tends to induce an uphill shift of temperature isolines. Observations and process-based models have both shown that climate warming has resulted in an increase in vegetation greenness on the Tibetan Plateau in recent decades. However, it is unclear whether the uphill shift of temperature isolines has caused greenness isolines to shift upward and whether the two shifts match each other. Our analysis of satellite observed vegetation greenness during the growing season (May-… Show more

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Cited by 71 publications
(53 citation statements)
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“…Burgeoning evidence confirms the warming trend of the Tibetan Plateau, for example, an increase in vegetation greenness (An et al, ) and the warming of large lake systems (Huang et al, ; Zhang et al, ), which has subsequently impacted the glacier mass balance. Such changes to glaciers affect the timing and the amount of water flowing downstream and play a key role in providing water for downstream irrigation, hydropower, and general consumption in major river basins in this arid climate.…”
Section: Discussionmentioning
confidence: 70%
“…Burgeoning evidence confirms the warming trend of the Tibetan Plateau, for example, an increase in vegetation greenness (An et al, ) and the warming of large lake systems (Huang et al, ; Zhang et al, ), which has subsequently impacted the glacier mass balance. Such changes to glaciers affect the timing and the amount of water flowing downstream and play a key role in providing water for downstream irrigation, hydropower, and general consumption in major river basins in this arid climate.…”
Section: Discussionmentioning
confidence: 70%
“…Simulation and field experiments show that elevation affect the VFC of alpine vegetation, and with the change of elevation, the relationship between the VFC and temperature has different characteristics [66,67,68]. In the higher elevation areas in the northwest, the degree of human disturbance was relatively low, and climate was the main factors controlling of vegetation growth.…”
Section: Discussionmentioning
confidence: 99%
“…Pixels with mean annual NDVIs less than 0.10 were considered to contain sparse vegetation and were excluded in this study (Cong et al, 2017). The NDVI GS was then calculated as the mean of the maximum NDVI for each month from May to September (An et al, 2018).…”
Section: Normalized Difference Vegetation Indexmentioning
confidence: 99%