Identifying key landscape pattern indices influencing the NPP: A case study of the upper and middle reaches of the Yellow River

Xue, Shaobo; Ma, Bo; Wang, Chenguang; Li, Zhanbin

doi:10.1016/j.ecolmodel.2023.110457

Cited by 20 publications

(10 citation statements)

References 38 publications

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“…Nevertheless, the regional disparities in vegetation response to climate shifts are chiefly attributed to the differing vegetation types and hydrothermal conditions prevailing across diverse locales. Congruent with research conducted within the Yellow River Basin and the arid and semiarid regions of northwest China [10,16,22,43], our analysis discerns that the individual explanatory powers of temperature and precipitation on NPP are q (MAP) = 0.393 and q (MAT) = 0.378, respectively (Figure 9a). Such findings underscore temperature and precipitation as the principal climatic determinants impacting the NPP changes in the SDHP vegetation.…”

Section: Npp's Response To Climate-related Factorssupporting

confidence: 69%

“…The positive correlation is most significant in the Yellow River Delta region. Thus, NWP has more dry days during the growing season compared to coastal areas, resulting in more sensitive farmland vegetation to changes in precipitation [22,44].…”

Section: Npp's Response To Climate-related Factorsmentioning

confidence: 99%

“…For example, climate change affects vegetation cover (FVC, NDVI) and productivity on a large scale [10,18] and has a significant impact on ecosystem structure, function, and quality of services [6,[19][20][21]. Moreover, studies have demonstrated that precipitation is the main climatic driver promoting the NPP growth in the Loess Plateau and Northwest China, showing a positive impact [9,10,22,23], and its impact on vegetation growth is greater than that of temperature [10,16,23,24]. Increasing temperatures extend the vegetation's growth season time and increase the production of cells, especially in high altitude spots such as the Qinghai Tibet Plateau [16,[23][24][25].…”

Section: Introductionmentioning

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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Section: Npp's Response To Climate-related Factorssupporting

confidence: 69%

Section: Npp's Response To Climate-related Factorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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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“…For indirect impacts, the builtup land SC causes fragmentation of mountain natural landscapes and reduces ecological connectivity. This reduces the structural stability of the ecosystem and impairs the productivity of vegetation (Xue et al, 2023). At the same time, the built-up land SC is accompanied by the upward movement of the population on the topography.…”

Section: The Impact Of Bcsg On Ndvimentioning

confidence: 99%

Changes in built‐up land along slope gradients and their effects on vegetation in the Three Gorges Reservoir Area

Zhang,

Yang,

Tang

et al. 2024

Land Degrad Dev

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Built‐up land changes along slope gradients (BCSG) are widespread globally, driven by natural environmental and socio‐economic variations. This process has profound effects on vegetation cover and is closely related to the United Nations Sustainable Development Goals. However, the mechanisms involved in the BCSG remain to be elucidated, and the impacts of BCSG on vegetation cover need to be quantified. The BCSG from 1990 to 2020 was described through slope spectrum analysis by taking the Three Gorges Reservoir Area (TGRA) as an example. Then, the Normalized Difference Vegetation Index (NDVI) was used as an indicator of vegetation cover, and its influence by BCSG was explored through a multiple linear regression model. The built‐up land in the TGRA from 1990 to 2020 was first dominated by slope climbing (SC) and then by horizontal expansion, and the intensity of built‐up land SC showed a general trend of weakening over time. During the 30 years, the intensity of built‐up land SC weakened and then strengthened in townships with mainly intermountain plains, while gradually decreasing in townships with mainly hills and townships with mainly mountains. Socio‐economic factors, natural factors, and regional special events drive the BCSG in TGRA. Built‐up land SC in the TGRA will have a negative impact on NDVI but to a progressively lesser degree from 1990 through 2020. The built‐up land SC in townships with mainly hills and mountains has a negative effect on NDVI. The built‐up land SC in townships with mainly intermountain plains has a positive impact on NDVI. These results can provide a scientific basis for formulating reasonable vertical management policies for built‐up land and help reduce the ecological risks caused by land development.

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Anthropogenic activities have accelerated the restoration of carbon sequestration services in the upper Yellow River

Yang,

Li,

Guan

et al. 2024

Ecological Engineering

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Identifying key landscape pattern indices influencing the NPP: A case study of the upper and middle reaches of the Yellow River

Cited by 20 publications

References 38 publications

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

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

Changes in built‐up land along slope gradients and their effects on vegetation in the Three Gorges Reservoir Area

Anthropogenic activities have accelerated the restoration of carbon sequestration services in the upper Yellow River

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