Impact of variability in the hydrological cycle components on vegetation growth in an alpine basin of the southeastern Tibet Plateau, China

Ban, Chunguang; Xu, Zongxue; Zuo, Depeng; Hao, Chenyang; Ye, Chenlei; Wang, Jing; Waciren, Da

doi:10.2166/nh.2021.086

Cited by 2 publications

(1 citation statement)

References 45 publications

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“…For example, there are many snow-capped mountains on the alpine steppe and alpine desert steppe of QTP, leading to the turnover efficiency of soil carbon being limited by the persistent low-temperature environment ( Ding et al., 2019 ), thereby determining the low ecosystem multifunctionality principally concentrated in this region. Unlike the alpine steppe and alpine desert steppe, QTP’s forest and alpine meadow were able to maintain a suitable temperature and an adequate water input that will facilitate the normal functioning of ecosystem function ( Ban et al., 2022 ; Li et al., 2022 ; Lu et al., 2022 ), ultimately contributing to the maintenance of ecosystem multifunctionality.…”

Section: Discussionmentioning

confidence: 99%

Impacts of human pressure and climate on biodiversity–multifunctionality relationships on the Qinghai–Tibetan Plateau

Wang

et al. 2023

Front. Plant Sci.

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Many studies have investigated the effects of environmental context on biodiversity or multifunctionality in alpine regions, but it is uncertain how human pressure and climate may affect their relationships. Here, we combined the comparative map profile method with multivariate datasets to assess the spatial pattern of ecosystem multifunctionality and further identify the effects of human pressure and climate on the spatial distribution of biodiversity–multifunctionality relationships in alpine ecosystems of the Qinghai–Tibetan Plateau (QTP). Our results indicate that at least 93% of the areas in the study region show a positive correlation between biodiversity and ecosystem multifunctionality across the QTP. Biodiversity–multifunctionality relationships with increasing human pressure show a decreasing trend in the forest, alpine meadow, and alpine steppe ecosystems, while an opposite pattern was found in the alpine desert steppe ecosystem. More importantly, aridity significantly strengthened the synergistic relationship between biodiversity and ecosystem multifunctionality in forest and alpine meadow ecosystems. Taken together, our results provide insights into the importance of protecting and maintaining biodiversity and ecosystem multifunctionality in response to climate change and human pressure in the alpine region.

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Section: Discussionmentioning

confidence: 99%

Impacts of human pressure and climate on biodiversity–multifunctionality relationships on the Qinghai–Tibetan Plateau

Wang

et al. 2023

Front. Plant Sci.

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Assessing the Sensitivity of Vegetation Cover to Climate Change in the Yarlung Zangbo River Basin Using Machine Learning Algorithms

et al. 2022

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Vegetation is a key indicator of the health of most terrestrial ecosystems and different types of vegetation exhibit different sensitivity to climate change. The Yarlung Zangbo River Basin (YZRB) is one of the highest basins in the world and has a wide variety of vegetation types because of its complex topographic and climatic conditions. In this paper, the sensitivity to climate change for different vegetation types, as reflected by the Normalized Difference Vegetation Index (NDVI), was assessed in the YZRB. Three machine learning models, including multiple linear regression, support vector machine, and random forest, were adopted to simulate the response of each vegetation type to climatic variables. We selected random forest, which showed the highest performance in both the calibration and validation periods, to assess the sensitivity of the NDVI to temperature and precipitation changes on an annual and monthly scale using hypothetical climatic scenarios. The results indicated there were positive responses of the NDVI to temperature and precipitation changes, and the NDVI was more sensitive to temperature than to precipitation on an annual scale. The NDVI was predicted to increase by 1.60%–4.68% when the temperature increased by 1.5 °C, while it only changed by 0.06%–0.24% when the precipitation increased by 10% in the YZRB. Monthly, the vegetation was more sensitive to temperature changes in spring and summer. Spatially, the vegetation was more sensitive to temperature increases in the upper and middle reaches, where the existing temperatures were cooler. The time-lag effects of climate were also analyzed in detail. For both temperature and precipitation, Needleleaf Forest and Broadleaf Forest had longer time lags than those of other vegetation types. These findings are useful for understanding the eco-hydrological processes of the Tibetan Plateau.

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Impact of variability in the hydrological cycle components on vegetation growth in an alpine basin of the southeastern Tibet Plateau, China

Cited by 2 publications

References 45 publications

Impacts of human pressure and climate on biodiversity–multifunctionality relationships on the Qinghai–Tibetan Plateau

Impacts of human pressure and climate on biodiversity–multifunctionality relationships on the Qinghai–Tibetan Plateau

Assessing the Sensitivity of Vegetation Cover to Climate Change in the Yarlung Zangbo River Basin Using Machine Learning Algorithms

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