The Impact of Human Activities on Net Primary Productivity in a Grassland Open-Pit Mine: The Case Study of the Shengli Mining Area in Inner Mongolia, China

Yang, Fei; Wang, Jinyang; Zhang, Chengye; Li, Jun; Xie, Huizhen; Zhuoge, Zeren

doi:10.3390/land11050743

Cited by 10 publications

(4 citation statements)

References 40 publications

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“…Using the residual relationship between the climate productivity model and the light use efficiency model, the spatial and temporal change process of the human activities influence intensity on vegetation NPP can be revealed (Hou et al, 2015). The Chikugo model, as a type of climate productivity model, uses parameters such as temperature, precipitation, and radiative desiccation index (RDI) to calculate the potential maximum value of vegetation NPP by meteorological factors alone (Yang et al, 2022). The corresponding formulas are expressed as follows:

NP {normalP}^{'} = 0.29 \times [\exp (- 0.216 \times RDI)] \times R_{n},

R_{n} = RDI \times L \times P,

RDI = {((), 0.629 goodbreak+ 0.237 PER goodbreak- 0.0031 {PER}^{2})}^{2},

where

NP {normalP}^{'}

denotes the potential productivity of climate.…”

Section: Methodsmentioning

confidence: 99%

Evaluation of spatiotemporal variation and impact factors for vegetation net primary productivity in a typical open‐pit mining ecosystem in northwestern China

Wang,

Cui,

Yang

et al. 2024

Land Degrad Dev

Self Cite

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The vegetation net primary productivity (NPP) is a key indicator for evaluating vegetation carbon sequestration. Exploring its spatiotemporal changes and impact factors is essential for coal mining and ecological restoration in open‐pit mining areas. This study utilized the Carnegie‐Ames‐Stanford‐Approach (CASA) model to calculate monthly vegetation NPP in the Xiwan mine area, a typical open‐pit mine in northwestern China. The trend, stability, and persistence analysis were conducted, along with the development of a grading method to examine the vegetation NPP spatiotemporal variation across different land cover types. Statistical grading and correlation analysis were used to explore the relationships between the topographical factors, meteorological factors, human activities, and vegetation NPP. The following results were obtained: (1) The vegetation NPP in the study area exhibited a high stability and anti‐persistent decrease in trend. NPP reached a peak of 143.49 g C/(m2 year) in 2017, but declined to a low of 118.38 g C/(m2 year) in 2021. (2) The vegetation NPP decreases with increasing elevation and slope, and a relatively strong correlation with temperature and precipitation was also observed. (3) The impact intensity of human activities on vegetation NPP exhibited a rising and fluctuating volatile trend. In 2021, the inhibition of vegetation NPP by human activities reached its peak at 166.42 g C/(m2 year), with an impact effect share of 36.9%. This research provides a comprehensive framework for vegetation NPP analysis in open‐pit mining, offering valuable insights for ecological conservation in mining ecosystems.

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NP {normalP}^{'} = 0.29 \times [\exp (- 0.216 \times RDI)] \times R_{n},

R_{n} = RDI \times L \times P,

RDI = {((), 0.629 goodbreak+ 0.237 PER goodbreak- 0.0031 {PER}^{2})}^{2},

where

NP {normalP}^{'}

denotes the potential productivity of climate.…”

Section: Methodsmentioning

confidence: 99%

Evaluation of spatiotemporal variation and impact factors for vegetation net primary productivity in a typical open‐pit mining ecosystem in northwestern China

Wang,

Cui,

Yang

et al. 2024

Land Degrad Dev

Self Cite

View full text Add to dashboard Cite

show abstract

“…In this study, net primary productivity (NPP) was used instead of biomass for the correction. Different models are used to calculate NPP, such as the Miami model [ 51 ], Chikugo model [ 52 ], and Thornthwaite Memorial model [ 51 ]. Among the models, the Thornthwaite Memorial model contains comprehensive environmental factors, and the correction factor adopts actual evapotranspiration, which can effectively reduce the error in calculations [ 53 ].…”

Section: Methodsmentioning

confidence: 99%

Estimation of Ecosystem Services Value at a Basin Scale Based on Modified Equivalent Coefficient: A Case Study of the Yellow River Basin (Henan Section), China

Niu

Xiao

et al. 2022

IJERPH

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The value of ecosystem services is an extremely important parameter that reflects regional ecological benefits and resources. Estimating the value of ecosystem services is essential for regional land-use optimization, ecological construction, and biodiversity protection. In this study, Landsat-TM/ETM remote sensing images were used to analyze land-use data in 1990, 2000, 2010, and 2020 of the Yellow River Basin (Henan section), China, defined by natural boundaries. An equivalent factor method was used to construct a model to calculate the ecosystem services value that introduced grain yield, regional difference coefficient, and social development stage coefficient. Thus, land-use changes and evolution of ecosystem services values in the Yellow River Basin (Henan section) in the past 30 years were analyzed. Land use in the basin changed significantly from 1990 to 2020. Except for an increase in area of construction land, areas of other land-use types decreased. Cultivated land area first increased and then decreased, whereas the water area first decreased and then increased. The total value of ecosystem services in the study area fluctuated but increased overall by 43.82×108 USD in the past 30 years. Spatially, the total value of ecosystem services was high in the southwest and low in the northeast. Among individual ecosystem service values, water conservation, gas regulation, and climate regulation accounted for a relatively high proportion of the total value. Regulation services were the main ecosystem service functions, followed by support and supply services, with cultural services accounting for the lowest proportion. Sensitivity coefficients of different land types in different periods were all less than one. Therefore, the value coefficients were reasonable, and the results were consistent with the actual situation of the study area. The study improves the method to estimate the ecosystem services value of the basin and also indicates ways to support ecological protection of the Yellow River Basin (Henan section), China.

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“…Mylliemngap et al found that removal of vegetation prior to coal mining and dumping reduces vegetation density, resulting in a 30% drop in grassland NPP [56]. Yang et al studied the NPP of open pit coal mines in Inner Mongolia, China, and reported that when the intensity of mining activities was the highest, there was a significant inhibitory effect on NPP [57]. Open-pit mining needs to discard a large amount of rocks and topsoil, which occupies a large area of land, destroys more vegetation and reduces the net primary productivity of vegetation [58].…”

Section: Effects Of Mining Activities On Npp Of Vegetationmentioning

confidence: 99%

Study on Ecological Loss in Coal Mining Area Based on Net Primary Productivity of Vegetation

Bai

Yang

et al. 2022

Land

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Opencast mining contributes to the severe disturbance of vegetation and serious damage to the ecological environment. Scientific assessment of the ecological losses may provide guidance for the sustainable land use in mining areas. This study uses the Carnegie Ames Stanford Approach (CASA) model to estimate the net primary productivity (NPP) of vegetation in the Pingshuo mining area from 2006 to 2020 and uses statistical analysis and mathematical models to study the impact of mining and land reclamation on NPP. The results show that NPP decreased slowly at a rate of 0.809 gC/(m2·month) per year. In 2006, the urban area of Pinglu and the opencast coal mining area were located in the western part of the study area, while the eastern part was distributed with a large amount of grassland, forested and cultivated land, and the NPP showed a high pattern in the east and low in the west. With the continued eastward movement of Antaibao and Anjialing mining areas, as well as the construction and continuous westward expansion of the East opencast mine, the pits of all three opencast mines moved to a central location in 2020, changing the spatial distribution of NPP to high in the surroundings and low in the middle. The NPP within the three opencast mines decreased significantly, but the change in NPP increased from −7.34 gC/(m2·month) to 7.15 gC/(m2·month) as the reclamation area increased, indicating that mining increased ecological losses while land reclamation mitigated them. The variation of NPP within 600 m outside the mining area is 2.06~7.45 gC/(m2·month), and 0.11~1.00 gC/(m2·month) from 600 m to 1000 m, indicating that NPP is sensitive to the influence of mining. The results may provide guidance for further analysis of the impact of mining on local environments and exploration of more appropriate land reclamation measures.

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The Impact of Human Activities on Net Primary Productivity in a Grassland Open-Pit Mine: The Case Study of the Shengli Mining Area in Inner Mongolia, China

Cited by 10 publications

References 40 publications

Evaluation of spatiotemporal variation and impact factors for vegetation net primary productivity in a typical open‐pit mining ecosystem in northwestern China

Evaluation of spatiotemporal variation and impact factors for vegetation net primary productivity in a typical open‐pit mining ecosystem in northwestern China

Estimation of Ecosystem Services Value at a Basin Scale Based on Modified Equivalent Coefficient: A Case Study of the Yellow River Basin (Henan Section), China

Study on Ecological Loss in Coal Mining Area Based on Net Primary Productivity of Vegetation

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