Unraveling the enigma of NPP variation in Chinese vegetation ecosystems: The interplay of climate change and land use change

Xu, Yong; Lu, Yun-Gui; Zou, Bin; Xu, Ming; Feng, Yu-Xi

doi:10.1016/j.scitotenv.2023.169023

Cited by 19 publications

(15 citation statements)

References 66 publications

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“…Such findings underscore temperature and precipitation as the principal climatic determinants impacting the NPP changes in the SDHP vegetation. This corroborates the notion that the paramount impacts of global climate change on vegetation growth are modulated by fluctuations in temperature and precipitation [19,28]. Moreover, our research intimates that varied terrestrial environments show marked responses to changes in temperature and precipitation [7,23].…”

Section: Npp's Response To Climate-related Factorssupporting

confidence: 89%

“…Climate change is the internal source of vegetation change, while human activities are the external reason [12,[23][24][25][26][27][28]. Our study elucidates the correlation between the annual average NPP size of varying land use typologies within the SDHP: woodland dominates, followed by farmland, grasslands, shrubberies, and other land categories (Figure 6b).…”

Section: Impact Of Human Activities On Npp Changesmentioning

confidence: 65%

“…Temperature, a crucial climatic variable, wields considerable influence upon the phen logical and developmental processes of vegetation. In the hierarchy of explanatory variab affecting vegetative growth, it is acknowledged as the secondary determinant after precipi tion, as corroborated by multiple studies [1,4,12,19,23,28]. Climate and temperature have strong positive link in regions like the northern riparian zone, JDH, and CSH.…”

Section: Npp's Response To Climate-related Factorsmentioning

confidence: 87%

“…Owing to the extensive expanse of arable terrain in the plains and the considerable influences of human activities on vegetation and its NPP dynamics [15,42], areas with notable fluctuations in vegetation are predominantly located within the JLP and the NWP zones. Conversely, recent measures to fortify coastal protections and ecological conservation in the SDHP region have augmented its capacity for net primary production and mitigated the previously fluctuating state of vegetation [28]. Moreover, the mountainous terrain within the Shandong Hills is largely cloaked in endemic vegetation, including woodland, shrubs, and grasslands, which is highly sensitive to climatic alterations yet exhibits a resilient vegetative consistency.…”

Section: Analysis Of Spatio-temporal Dynamics In Vegetation Nppmentioning

confidence: 99%

“…Vegetation and productivity in China have been deeply affected by climate change [14,27]. These studies emphasize that climate change, especially precipitation and temperature, are important climate factors affecting vegetation cover, productivity, and spatiotemporal differences [16,22,28].…”

Section: Introductionmentioning

confidence: 99%

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The Impact of Climate Change and Human Activities on the Spatial and Temporal Variations of Vegetation NPP in the Hilly-Plain Region of Shandong Province, China

Wu,

Yang,

et al. 2024

Forests

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Studying the spatio-temporal changes and driving mechanisms of vegetation’s net primary productivity (NPP) is critical for achieving green and low-carbon development, as well as the carbon peaking and carbon neutrality goals. This article employs various analytical approaches, including the Carnegie–Ames–Stanford approach (CASA) model, Theil–Sen median estimator, coefficient of variation, Hurst index, and land-use and land-cover change (LUCC) transition matrix, to conduct a thorough study of NPP variations in the Shandong Hilly Plain (SDHP) region. Furthermore, the geographic detector method was used to investigate the synergistic effects of meteorological changes and human activities on NPP in this region. Between 2000 and 2020, the vegetation NPP in the SDHP exhibited an average increase rate of 0.537 g C·m−2·a−1. However, the fluctuation in mean annual NPP, ranging from 203 to 230 g C·m−2·a−1, underscores an uneven growth pattern. Significant regional disparities are evident in vegetation NPP, gradually ascending from the southeast to the northwest and from the coastal areas to inland regions. The average Hurst index for the entire study area stands at 0.556, indicating an overall sustained growth trend in the time series of SDHP vegetation NPP. The vegetation NPP changes in SDHP can be well explained by climate variables (mean annual temperature, mean annual precipitation) and human activities (LUCC, night light index); of these, LUCC (q = 0.684) has the highest explanatory power on the impact of NPP and is a major influencing factor. This study deepens the understanding of the driving factors and patterns of vegetation’s dynamic response to climate change and human activities in the SDHP region. At the same time, it provides valuable scientific insights for improving ecosystem quality and promoting the carbon peaking and carbon neutrality goals.

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