Assessing the effects of climate and human activity on vegetation change in Northern China

Chen, Meizhu; Xue, Yayong; Xue, Yibo; Peng, Jie; Guo, Jiawei; Liang, Haibin

doi:10.1016/j.envres.2024.118233

Cited by 11 publications

(1 citation statement)

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“…Numerous studies have extensively documented widespread vegetation greening and productivity gains in China, highlighting significant improvements in plant growth, ecosystem health, and carbon sequestration due to factors such as climate change, reforestation efforts, and agricultural practices [25][26][27][28][29]. These studies of vegetation have predominantly utilized conventional vegetation indices, such as the normalized difference vegetation index (NDVI) [30][31][32] and the enhanced vegetation index (EVI) [33][34][35], for monitoring vegetation growth and ecological conditions. While these indices can reflect the growth status of vegetation to a certain extent, they provide only indirect estimates of photosynthetic activity and lack direct measurements of this critical ecological parameter [36,37].…”

Section: Introductionmentioning

confidence: 99%

Association Analysis of the Spatial and Temporal Changes in Vegetation Photosynthesis Levels with Land Cover Changes in China Based on Solar-Induced Fluorescence

Liao,

Wei,

Huang

et al. 2024

Sustainability

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Understanding the relationship between vegetation photosynthesis levels and land use changes is crucial for assessing ecosystem health and plant growth status. Existing studies have not fully considered temporal and spatial dimensions, resulting in an incomplete understanding of the relationship between vegetation photosynthesis levels and land use. Based on solar-induced fluorescence (SIF) data from 2001 to 2022, this study used the Mann-Kendall (MK) test and spatial association analysis to explore the associations between temporal and spatial changes in vegetation photosynthesis levels and land cover change (LCC) in China. The contributions and findings are as follows: (1) A computational framework was utilized to comprehensively measure the spatial correlation between LCCs and chlorophyll levels based on their spatial co-occurrence. (2) The MK test results of the annual and monthly average vegetation photosynthesis levels revealed that most regions in China exhibited increasing trends, accounting for 90.01% and 91.78%, respectively. Moreover, the vegetation photosynthesis levels in western China had a downward trend, indicating that the vegetation ecosystem in this region may be under a certain degree of pressure or may face the risk of degradation. (3) Some economically developed provinces are facing ecological pressures caused by urbanization and industrialization, which have led to the degradation of vegetation ecosystems and a decrease in vegetation photosynthesis levels. (4) Highly supportive areas of the land use–vegetation photosynthesis level association analysis were mainly distributed in grassland and forest areas, indicating the effectiveness of forest protection and grassland management policies. Moreover, the decrease in vegetation photosynthesis mainly occurred in barren areas, illustrating that the management and protection of this type of land still need to be strengthened. These findings underscore the complex interplay between land use and vegetation health, providing insights for sustainable land management policies.

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