Spatiotemporal changes in vegetation and hydrological factors in the North China Plain from 2002 to 2016

Yanping, 曹艳萍 Cao; Fen, 秦奋 Qin; Yingjun, 庞营军 Pang; Fang, 赵芳 Zhao; Jinting, 黄金亭 Huang

doi:10.5846/stxb201803060436

Cited by 4 publications

(1 citation statement)

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“…In the downstream Henan and Shandong provinces, densely inhabited hilly plain areas witnessed significant impacts from economic development and irrigation on vegetation growth [61]. Conceding farmland to forests and afforestation in barren mountains improved forest cover to some extent [62].…”

Section: Spatial-temporal Variations Of Human Activity Factors Drivin...mentioning

confidence: 99%

Spatial-Temporal Variations of Human Impact on Forest Ecological Functions in the Yellow River Basin from 2004 to 2018

Zhao,

Wu,

Wang

et al. 2024

Preprint

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Human activities (e.g., exploitation, utilization, and conservation) exert substantial impact on forest ecological functions (FEF). The human influence on FEF significantly varies across developmental stages, which are attributed to the temporal and spatial in nature. This study evaluates some notable FEF indices (FEFI) in the 448 counties within the Yellow River basin (YRB) using panel data from the Seventh to Ninth National Forest Inventory. Data analysis involves employing the residual trends, geographical and temporal weighted regression. Results indicate that, firstly, the overall forest ecological function in the YRB is moderate to inferior, with superior FEF in counties endowed with more natural forest resources. Afforestation demonstrates a short-term improvement, but its effectiveness diminishes over time. Secondly, the positive spatial correlation is stronger among counties, characterized by both high-high and low-low agglomeration effects. Scattered planting, simple stand structure, and concentrated harvesting of forests at the identical stand ages hinder the formation of complex and large-scale FEF agglomerations. Thirdly, significant spatial-temporal differences exist in the impact of human activities on FEF. In the upper reaches of the basin, increased vegetation coverage through agricultural and forestry production benefited FEF, however, some over-exploitation of forests and grasslands is observed there. In the middle reaches, the economic development, expanding population and the greening activities help to improve FEF effectively, but excessive water using in agricultural production brought more difficulties to FEF improvement. In the lower reaches of the basin, improved wastelands and forest protection positively influence FEF. This study recommends that county governments should prioritize forest management with multi-species and multi-layered complex forests. Each county should define its position in regional development and ecological protection, considering the potential impacts on neighboring regions. This holistic approach promotes more effective integrated regional management.

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Section: Spatial-temporal Variations Of Human Activity Factors Drivin...mentioning

confidence: 99%

Spatial-Temporal Variations of Human Impact on Forest Ecological Functions in the Yellow River Basin from 2004 to 2018

Zhao,

Wu,

Wang

et al. 2024

Preprint

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Can GRACE and CMIP6 historical data identify groundwater drought in North China Plain?

Yao

Guo

Zhong

et al. 2023

Theor Appl Climatol

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Revealing climatic and groundwater impacts on the spatiotemporal variations in vegetation coverage in marine sedimentary basins of the North China Plain, China

Liu,

Wu,

et al. 2024

Sci Rep

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The North China Plain (NCP) is one of the three great plains in China and also serves as a vital region for grain, cotton, and oil production. Under the influence of regional hydrothermal changes, groundwater overexploitation, and seawater intrusion, the vegetation coverage is undergoing continuous alterations. However, a comprehensive assessment of impacts of precipitation, temperature, and groundwater on vegetation in marine sedimentary regions of the NCP is lacking. Heilonggang Basin (HB) is located in the low-lying plain area in the east of NCP, which is part of the NCP. In this study, the HB was chosen as a typical area of interest. We collected a series of data, including the Normalized Difference Vegetation Index (NDVI), precipitation, temperature, groundwater depth, and Total Dissolved Solids (TDS) from 2001 to 2020. Then the spatiotemporal variation in vegetation was analyzed, and the underlying driving mechanisms of vegetation variation were explored in this paper. The results show that NDVI experiences a rapid increase from 2001 to 2004, followed by stable fluctuations from 2004 to 2020. The vegetation in the HB has achieved an overall improvement in the past two decades, with 76% showing improvement, mainly in the central and eastern areas, and 24% exhibiting deterioration in other areas. From 2001 to 2020, NDVI correlates positively with precipitation, whereas its relationship with temperature fluctuates between positive and negative, and is not statistically significant. There is a threshold for the synergistic change of NDVI and groundwater depth. When the groundwater depth is lower than 3.8 m, NDVI increases sharply with groundwater depth. However, beyond this threshold, NDVI tends to stabilize and fluctuate. In the eastern coastal areas, NDVI exhibits a strong positive correlation with groundwater depth, influenced by the surface soil TDS controlled by groundwater depth. In the central regions, a strong negative correlation is observed, where NDVI is primarily impacted by soil moisture under the control of groundwater. In the west and south, a strong positive correlation exists, with NDVI primarily influenced by the intensity of groundwater exploitation. Thus, precipitation and groundwater are the primary driving forces behind the spatiotemporal variability of vegetation in the HB, while in contrast, the influence of temperature is uncertain. This study has elucidated the mechanism of vegetation response, providing a theoretical basis for mitigating adverse factors affecting vegetation growth and formulating rational water usage regulations in the NCP.

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Spatiotemporal changes in vegetation and hydrological factors in the North China Plain from 2002 to 2016

Cited by 4 publications

References 0 publications

Spatial-Temporal Variations of Human Impact on Forest Ecological Functions in the Yellow River Basin from 2004 to 2018

Spatial-Temporal Variations of Human Impact on Forest Ecological Functions in the Yellow River Basin from 2004 to 2018

Can GRACE and CMIP6 historical data identify groundwater drought in North China Plain?

Revealing climatic and groundwater impacts on the spatiotemporal variations in vegetation coverage in marine sedimentary basins of the North China Plain, China

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