Biophysical impacts of vegetation dynamics largely contribute to climate mitigation in High Mountain Asia

Liu, Yongchang; Li, Zhi; Chen, Yaning; Kayumba, Patient Mindje; Wang, Xuanxuan; Liu, Chuanxiu; Long, Yunxia; Sun, Fan

doi:10.1016/j.agrformet.2022.109233

Cited by 14 publications

(9 citation statements)

References 50 publications

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“…Compared with previous studies, the change in vegetation greenness in the growing season based on satellite observations showed increasing trends in northeastern, northwestern, central-eastern, and northwestern areas since 2000 as a result of increasing precipitation, increasing temperature, and solar radiation, respectively [5,77,78]. Browning was observed in the southwestern Tibetan Plateau due to decreasing precipitation from 2000 to 2018 [5].…”

Section: The Driving Factors Of Vegetation Greenness Changementioning

confidence: 51%

Multiple Greenness Indexes Revealed the Vegetation Greening during the Growing Season and Winter on the Tibetan Plateau despite Regional Variations

Lv,

Zhao,

Hua

et al. 2023

Remote Sensing

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Vegetation is an essential component of terrestrial ecosystems and supplies multiple ecosystem benefits and services. Several indices have been used to monitor changes in vegetation communities using remotely-sensed data. However, only a few studies have conducted a comparative analysis of different indices concerning vegetation greenness variation. Additionally, there have been oversights in assessing the change in greenness of evergreen woody species. In this study, we used the normalized difference vegetation index (NDVI), the enhanced vegetation index (EVI), the near-infrared reflectance of terrestrial vegetation (NIRv), and the leaf area index (LAI) data derived from MODIS data to examine spatial and temporal change in vegetation greenness in the growing season (May–September) and then evaluated the evergreen vegetation greenness change using winter (December–February) greenness using trend analysis and consistency assessment methods between 2000 and 2022 on the Tibetan Plateau, China. The results found that vegetation greenness increased in 80% of pixels during the growing season (northeastern, central-eastern, and northwestern regions). Nevertheless, a decline in the southwestern and central-southern areas was identified. Similar trends in greenness were also observed in winter in about 80% of pixels. Consistency analyses based on the four indexes showed that vegetation growth was enhanced by 29% and 30% of pixels in the growing season and winter, respectively. Further, there was relatively strong consistency among the different vegetation indexes, particularly between the NIRv and EVI. The LAI was less consistent with the other indexes. These findings emphasize the importance of selecting an appropriate index when monitoring long-term temporal trends over large spatial scales.

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Section: The Driving Factors Of Vegetation Greenness Changementioning

confidence: 51%

Multiple Greenness Indexes Revealed the Vegetation Greening during the Growing Season and Winter on the Tibetan Plateau despite Regional Variations

Lv,

Zhao,

Hua

et al. 2023

Remote Sensing

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“…There are also limitations in this study, as the specific physical mechanisms underlying the impact of vegetation on climate factors in the northwest region were only roughly investigated. In future research, we will utilize intrinsic biophysical mechanisms [25] to further explore the effects of vegetation on factors such as temperature under different scenarios.…”

Section: Discussionmentioning

confidence: 99%

The Influence of Vegetation on Climate Elements in Northwestern China

Huang,

et al. 2024

Atmosphere

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Vegetation plays a crucial role in maintaining the balance between nature, water and soil resources. However, understanding its impact mechanisms in arid and semi-arid areas remains limited. This study aims to analyze the spatial–temporal characteristics of the vegetation leaf area index (LAI) and climate elements in typical regions of northwest China and the correlations between LAI and climate elements; it also aims to explore the influence of regional vegetation growth on climate change. The results reveal significant correlations between LAI and various climate elements. Specifically, within the same region, surface temperature, precipitation, vegetation transpiration, and total evaporation show positive correlations with the LAI, whereas surface albedo shows a negative correlation. Vegetation may affect climate through both heat and water exchange between the land and atmosphere. Increased vegetation leads to the enhanced absorption of solar radiation by the land surface, elevating surface temperature. Increased levels of vegetation also increase vegetation transpiration and total evaporation, increasing the water vapor content in the atmosphere and thus leading to increased surface precipitation. Therefore, vegetation distribution plays a role in climate change, and ecological restoration projects in the northwest region hold significant potential for addressing ecological challenges in its arid and semi-arid areas.

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“…6) 34 . The low albedo and high roughness of broad-leaved forests promote the partitioning of more solar energy into turbulent heat flows, which heightens the turbulent mixing and convective instability in the boundary layer 32,35 . The present research determined that cloudiness in the last decade has promoted the growth of subtropical broadleaf evergreen forests in the Northern Hemisphere [36][37][38] .…”

Section: Discussionmentioning

confidence: 99%

Ecosystems in China have become more sensitive to changes in water demand since 2001

Hu,

Wei,

et al. 2023

Commun Earth Environ

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Changes in heat and moisture significantly co-alter ecosystem functioning. However, knowledge on dynamics of ecosystem responses to climate change is limited. Here, we quantify long-term ecosystem sensitivity based on weighted ratios of vegetation productivity variability and multiple climate variables from satellite observations, greater values of which indicate more yields per hydrothermal condition change. Our results show ecosystem sensitivity exhibits large spatial variability and increases with the aridity index. A positive temporal trend of ecosystem sensitivity is found in 61.28% of the study area from 2001 to 2021, which is largely attributed to declining vapor pressure deficit and constrained by solar radiation. Moreover, carbon dioxide plays a dual role; which in moderation promotes fertilization effects, whereas in excess may suppress vegetation growth by triggering droughts. Our findings highlight moisture stress between land and atmosphere is one of the key prerequisites for ecosystem stability, offsetting part of the negative effects of heat.

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Biophysical impacts of vegetation dynamics largely contribute to climate mitigation in High Mountain Asia

Cited by 14 publications

References 50 publications

Multiple Greenness Indexes Revealed the Vegetation Greening during the Growing Season and Winter on the Tibetan Plateau despite Regional Variations

Multiple Greenness Indexes Revealed the Vegetation Greening during the Growing Season and Winter on the Tibetan Plateau despite Regional Variations

The Influence of Vegetation on Climate Elements in Northwestern China

Ecosystems in China have become more sensitive to changes in water demand since 2001

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