Temperature contributes more than precipitation to the greening of the Tibetan Plateau during 1982–2019

Bafitlhile, Thabo Michael; Liu, Yuanbo

doi:10.1007/s00704-021-03882-9

Cited by 10 publications

(6 citation statements)

References 68 publications

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“…Numerous studies have shown that the climate on the TP has undergone a process of climate warming and wetting over the past four decades, with an average increase of 0.4°C per decade in temperature and 35 mm per decade in precipitation, especially in the northeastern part of the TP (Zhang et al, 2013; Duan and Xiao 2015; Bafitlhile and Liu 2022; Yuan et al, 2021b; Wang et al, 2022a). The trend of temperature and precipitation also shows a pattern of interannual variation ( p < .001) (Figure 5).…”

Section: Resultsmentioning

confidence: 99%

“…Precipitation. Warming is the main climatic factor behind the significant increase in vegetation cover on the TP in the last 40 a, but vegetation cover is highly sensitive to changes in precipitation (Li et al, 2014;Bafitlhile and Liu 2022;Tollefson, 2021). The study showed that the significant areas of correlation between vegetation change and precipitation on the TP over the last 20 an accounted for 9.64%, 9.02%, 11.56% and 3.58% of the total area (p < .05), respectively, using the MODIS EVI, Spot-VGT NDVI, LAI and NPP remotely sensed vegetation datasets with the precipitation dataset (Figure 10 and Table 5).…”

Section: Drivers Of Vegetation Changementioning

confidence: 99%

“…Satellite images have been widely used to monitor and simulate vegetation cover dynamics (Xin et al, 2008; Liu et al, 2016). The use of satellite data to analyze vegetation time series and spatiotemporal variation, monitor vegetation dynamics, and examine the relationship with climate change has become an important research avenue in global ecological and environmental change studies (Evans and Geerken, 2004; Zhong et al, 2019; Bafitlhile and Liu 2022; Jiang et al, 2021). Most previous studies have used a single source of remotely sensed vegetation data, thus making it difficult to generate an accurate understanding of vegetation change trends (Chen et al, 2019b; Bafitlhile and Liu 2022).…”

Section: Introductionmentioning

confidence: 99%

“…The use of satellite data to analyze vegetation time series and spatiotemporal variation, monitor vegetation dynamics, and examine the relationship with climate change has become an important research avenue in global ecological and environmental change studies (Evans and Geerken, 2004; Zhong et al, 2019; Bafitlhile and Liu 2022; Jiang et al, 2021). Most previous studies have used a single source of remotely sensed vegetation data, thus making it difficult to generate an accurate understanding of vegetation change trends (Chen et al, 2019b; Bafitlhile and Liu 2022). However, there are many different remotely sensed vegetation datasets including the normalized difference vegetation index (NDVI), leaf area index (LAI), and net primary productivity (NPP) (Levin, 2016).…”

Section: Introductionmentioning

confidence: 99%

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Multi-source remote sensing data shows a significant increase in vegetation on the Tibetan Plateau since 2000

Yang

Xin

Huang

et al. 2023

Progress in Physical Geography: Earth and Environment

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In recent years, there has been growing concern that vegetation changes on the Tibetan Plateau are associated with climate change (temperature and precipitation) and human activities. This study used six types of remote sensing vegetation data, including GIMMS (Global Inventory Modelling and Mapping Studies) NDVI (Normalized Difference Vegetation Index), MODIS (Moderate Resolution Imaging Spectroradiometer) NDVI, MODIS EVI (Enhanced Vegetation Index), SPOT Vegetation (Spot-VGT) NDVI, LAI (Leaf Area Index) and NPP (Net Primary Productivity), and applied the maximum synthesis method, trend analysis, correlation analysis, and multivariate statistical analysis to investigate vegetation change processes since the 1980s. The study showed that the amount of vegetation on the TP had increased significantly since 2000 ( p < .01), especially in the northeastern part of the TP. There was no significant change prior to 2000. The different vegetation data sources varied greatly. Four remote sensing indices, MODIS EVI, Spot-VGT NDVI, LAI, and NPP, showed a significant increase in vegetation from 2000, accounting for 16.18%, 44.55%, 30.44% and 8.94% of the total area, respectively ( p < .05). Multiple data sources provided a more comprehensive understanding, whereas a single data source had substantial uncertainty. Human activities, such as the implementation of large-scale ecological projects, played a dominant role in increasing vegetation, while climate change played a subsidiary role. The MODIS EVI, Spot-VGT NDVI, LAI, and NPP data showed that the area of increased vegetation caused by human activities accounted for 53.51%, 45.68%, 37.52%, and 31.79% of the total area of the TP, respectively. The relative increase from climate change was 10.28%, 17.49%, 13.15%, and 8.82%, respectively. The current study applied multi-source remotely sensed vegetation data, which effectively reduced the uncertainty caused by individual data sources and provided more rigorous and scientific research conclusions.

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Section: Resultsmentioning

confidence: 99%

Section: Drivers Of Vegetation Changementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Multi-source remote sensing data shows a significant increase in vegetation on the Tibetan Plateau since 2000

Yang

Xin

Huang

et al. 2023

Progress in Physical Geography: Earth and Environment

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“…Studies have documented significant warming of the TP since the late 1960s (Chen et al, 2013; Ding et al, 2018; Li & Zha, 2019; Liu et al, 2020; Xu et al, 2008b), leading to considerable ecological changes primarily attributed to temperature fluctuations (Bafitlhile & Liu, 2022; Liu et al, 2015; Wang et al, 2020a; Zou et al, 2020). Consequently, the present study aims to elucidate the complex relationship between large‐scale oscillation patterns, such as the Pacific Decadal Oscillation (PDO), Atlantic Multidecadal Oscillation (AMO), and El Niño–Southern Oscillation (ENSO), and their contribution on temperature variations over the TP.…”

Section: Introductionmentioning

confidence: 99%

An asymmetric relationship between Tibetan Plateau surface temperature regimes and oceanic–atmospheric circulations

Bafitlhile

Liu

2023

Intl Journal of Climatology

Self Cite

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As a high‐altitude region, the Tibetan Plateau (TP) is sensitive to climate change. Since the 1960s, the TP has experienced significant spatial‐variant warming, vital to changing the region's terrestrial ecosystem. To understand surface air temperature (SAT) regimes over the TP, we investigated their link with teleconnections using observational and reanalysis datasets from 1982 to 2019. We employed wavelet analysis, empirical orthogonal teleconnection (EOT), partial regression, canonical correlation analysis and t test. Our results indicate an asymmetrical connection between teleconnections and SAT, with Atlantic Multidecadal Oscillation (AMO) predominant over the northern TP. In contrast, the El Niño–Southern Oscillation (ENSO) is more prevalent in the southern part. The spatial variance was potentially related to windspeed, total cloud cover (TCC), net longwave radiation (NLWR), net shortwave radiation (NSWR), cloud‐forcing net longwave flux (CF‐NLWF) and cloud‐forcing net shortwave flux (CF‐NLWF) anomalies. ENSO and Pacific Decadal Oscillation (PDO) modulate cloud cover variation in the southern TP, mainly the southwest, via the monsoon and subtropical westerlies. In the north, cloud cover variation is related to the moisture transported by the AMO‐induced prevailing westerlies. The study examined the complex interplay between teleconnections, SAT and cloud radiative forcing by examining the cloud cover and radiation balance relationship. These findings contribute to understanding climate change impacts on the TP, informing climate projections and guiding adaptation strategies by elucidating the relationship between TP temperature variation and oceanic–atmospheric oscillation patterns.

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Warming and increasing precipitation induced greening on the northern Qinghai-Tibet Plateau

Shi,

Wang,

Zhan

et al. 2023

CATENA

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Temperature contributes more than precipitation to the greening of the Tibetan Plateau during 1982–2019

Cited by 10 publications

References 68 publications

Multi-source remote sensing data shows a significant increase in vegetation on the Tibetan Plateau since 2000

Multi-source remote sensing data shows a significant increase in vegetation on the Tibetan Plateau since 2000

An asymmetric relationship between Tibetan Plateau surface temperature regimes and oceanic–atmospheric circulations

Warming and increasing precipitation induced greening on the northern Qinghai-Tibet Plateau

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