Spatial differentiation of the NPP and NDVI and its influencing factors vary with grassland type on the Qinghai-Tibet Plateau

Liu, Yixuan; Liu, Shiliang; Sun, Yixuan; Li, Mingqi; An, Yingli; Shi, Fangning

doi:10.1007/s10661-020-08824-y

Cited by 55 publications

(38 citation statements)

References 69 publications

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“…As for ET, a previous work demonstrated that it was increased overall during 1982-2016 in QTP, with a decreased spatial pattern from southeast to northwest (Ma and Zhang, 2022). In this study, the mainly increasing area was in the northeast and southwest (Figure 4C), which is also the high-temperature area.…”

Section: The Spatiotemporal Variations and Distance Characteristic Of...supporting

confidence: 59%

“…In general, NPP and NDVI have positive correlations (Liu et al, 2021); the inconsistency between NPP and FVC indicates that the climate and vegetation species significantly differed in the long-distance linear region, therefore the relationship between NPP and FVC was not obvious. The consistent areas among the significantly increased area of ET and NPP indicated the positive relationships between the actual ET and terrestrial productivity (Ma and Zhang, 2022).…”

Section: The Spatiotemporal Variations and Distance Characteristic Of...mentioning

confidence: 97%

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Spatiotemporal Variations of Ecosystem Service Indicators and the Driving Factors Under Climate Change in the Qinghai–Tibet Highway Corridor

Yang

Zhu

Zhang

et al. 2022

Front. Environ. Sci.

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In recent decades, the influence of climate change and human activities on the ecosystem services (ES) in the Qinghai–Tibet Plateau (QTP) has been extensively investigated. However, few studies focus on linear traffic corridor area, which is heavily affected by human activities. Taking the Golmud–Lhasa national highway corridor as a case, this study investigated the land-use and land-cover change (LUCC) and spatiotemporal variations of ES indicators using ecosystem indices of fractional vegetation cover (FVC), leaf area index (LAI), evapotranspiration (ET), and net primary productivity (NPP) from 2000 to 2020. The results indicated that LUCC was faster in the last decade, mostly characterized by the conversion from grassland to unused land. In buffer within 3000 m, the proportions of productive areas represented the increased trends with distance. In terms of ES variations, the improved areas outweighed the degraded areas in terms of FVC, LAI, and NPP from 2000 to 2020, mostly positioned in the Qinghai Province. In addition, FVC, LAI, and NPP peaked at approximately 6000 m over time. With regard to influencing factors, precipitation (20.54%) and temperature (14.19%) both positively influenced the spatiotemporal variation of FVC. Nearly 60% of the area exhibited an increased NPP over time, especially in the Qinghai Province, which could be attributed to the temperature increase over the last two decades. In addition, the distance effects of climatic factors on ES indicators exhibited that the coincident effects almost showed an opposite trend, while the reverse effects showed a similar trend. The findings of this study could provide a reference for the ecological recovery of traffic corridors in alpine fragile areas.

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Section: The Spatiotemporal Variations and Distance Characteristic Of...supporting

confidence: 59%

Section: The Spatiotemporal Variations and Distance Characteristic Of...mentioning

confidence: 97%

Spatiotemporal Variations of Ecosystem Service Indicators and the Driving Factors Under Climate Change in the Qinghai–Tibet Highway Corridor

Yang

Zhu

Zhang

et al. 2022

Front. Environ. Sci.

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“…The annual and seasonal NDVI averages reflect vegetation growth during the year and season. NDVI is an essential indicator in Tibet, especially when evaluating the grassland growing status and forest conservation [73][74][75]. In addition, the grassland area is the most significant driving factor in ecological vulnerability, according to the result in Section 3.3.…”

Section: Correlation Between Ndvi and Afforestation Area And Regression Testsmentioning

confidence: 99%

A Long-Term Ecological Vulnerability Analysis of the Tibetan Region of Natural Conditions and Ecological Protection Programs

et al. 2021

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The combined impacts of drastic natural environment change and increasing human interference are making the uncertainty of the Tibetan Plateau’s ecological vulnerability the world’s largest. In this study, an ecological vulnerability index (EVI) of Tibet in the core area of the Tibetan Plateau was assessed using a selected set of ecological, social, and economic indicators and using a spatial principal component analysis (SPCA) to calculate their weights. The data included Landsat images and socio-economic data from 1990 to 2015 in five-year intervals. The results showed that the total EVI remained at a high vulnerability level, with drastic fluctuation from 1990 to 2000 (a peak in 1995, when there was a sudden increase in light vulnerability, which moved to extreme vulnerability in the next period), and minor fluctuations after 2000, gradually increasing from southeast to northwest. In addition, the spatial analysis showed a distinct positive correlation between the EVI and grassland area (0.33), land use degree (0.15), NDVI (0.14), livestock husbandry output, and a negative correlation in terms of desertification area. The artificial afforestation program (AAP) had a positive significant correlation with NDVI (R2 = 0.88), preventing the environment from becoming more vulnerable. The results provide practical information and suggestions for planners to improve the land use degree in urban areas and the vegetation coverage in pastoral regions of the Tibetan Plateau based on the spatial–temporal heterogeneity patterns of the EVI of Tibet.

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“…Grazing intensity is also one of the main driving factors affecting vegetation cover in grasslands on the Tibetan Plateau. Grasslands have been considered as natural pastures for grazing by herders for many years, especially in the Tibetan Plateau region [81,82]. Studies have shown that long-term grazing directly affects the vegetation cover and productivity of grasslands on the Tibetan Plateau, but with the implementation of a series of ecological measures related to grassland restoration, e.g., rotation grazing prohibition, the degradation of grasslands has been mitigated, which may also be one of the main reasons why the vegetation trends in our study area tends to improve [83,84].…”

Section: Analysis Of the Other Drivers Influencing Changes In Vegetation Dynamicsmentioning

confidence: 99%

Multiple Effects of Topographic Factors on Spatio-temporal Variations of Vegetation Patterns in the Three Parallel Rivers Region, Southeast Tibet

Wang¹,

Wang²,

Naudiyal³

et al. 2021

Preprint

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Topographic factors are recognized as one of the key factors influencing vegetation distribution patterns, and studying the interactions between them can contribute to enhancing our understanding of future vegetation dynamics. We used the Moderate-resolution Imaging Spectroradiometer Normalized Differential Vegetation Index (MODIS NDVI) image dataset (2000-2019), combined with Digital Elevation Model (DEM), and vegetation type data for trend analysis, and explored NDVI variation and its relationship with topographic factors through an integrated geographically-weighted model in the Three Parallel Rivers Region (TPRR) of southeastern Tibetan plateau in the past 20 years. Our results indicated that there was no significant increase of NDVI in the entire basin between 2000-2019, except for the Lancang River basin. In the year 2004, abrupt changes in NDVI were observed across the whole basin and each sub-basin. During 2000-2019, the mean NDVI value of the whole basin increased initially and then decreased with the increasing elevation. However, it changed marginally with changes in slope and aspect. We observed a distinct spatial heterogeneity in vegetation patterns with elevation, with vegetation in the southern regions showing higher NDVI than the north as a whole. Most of the vegetation cover was concentrated in the slope range of 8~35°, with no significant difference in distribution except flat-land. Furthermore, from 2000 to 2019, the vegetation cover in the TPRR showed an improving trend with the changes of various topographic factors, with the largest improvement area (36.10%) in the slightly improved category. The improved region was mainly distributed in the source area of the Jinsha River basin and the southern part of the whole basin. Geographically weighted regression (GWR) analysis showed that elevation was negatively correlated with NDVI trends in most areas, especially in the middle reaches of Nujiang River basin and Jinsha River basin, where the influence of slope and aspect on NDVI change was considerably much smaller than elevation.

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Spatial differentiation of the NPP and NDVI and its influencing factors vary with grassland type on the Qinghai-Tibet Plateau

Cited by 55 publications

References 69 publications

Spatiotemporal Variations of Ecosystem Service Indicators and the Driving Factors Under Climate Change in the Qinghai–Tibet Highway Corridor

Spatiotemporal Variations of Ecosystem Service Indicators and the Driving Factors Under Climate Change in the Qinghai–Tibet Highway Corridor

A Long-Term Ecological Vulnerability Analysis of the Tibetan Region of Natural Conditions and Ecological Protection Programs

Multiple Effects of Topographic Factors on Spatio-temporal Variations of Vegetation Patterns in the Three Parallel Rivers Region, Southeast Tibet

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