Spatiotemporal characteristics of grassland net primary production in Ningxia Province from 2000 to 2015 and its response to climate change

Yuguo, 朱玉果 Zhu; Lingtong, 杜灵通 Du; Yingzhong, 谢应忠 Xie; Ke, 刘可 Liu; Fei, 宫菲 Gong; Yang, 丹杨 Dan; Le, 王乐 Wang; Qiqi, 郑琪琪 Zheng

doi:10.5846/stxb201801220171

Cited by 3 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Zhu et al points out that the vegetation NPP in different grasslands in Ningxia from large to small was: mountain meadows, grassland meadows, shrub meadows and low wetland meadows, steppe meadows and desert steppes. The multi-year average NPP for each vegetation type of land use is also different [37]: forest land (249.19 gC/m 2 a) > cultivated land (229.47 gC/m 2 a) > grassland (176.89 gC/m 2 a) > bare land (113.46 gC/m 2 a). According to Zhu et al [37], the multi-year average grassland NPP in Ningxia from 2010 to 2015 was 148.28 gC/m 2 a, which was not meaningfully different from the results in this paper.…”

Section: Discussionmentioning

confidence: 99%

“…The multi-year average NPP for each vegetation type of land use is also different [37]: forest land (249.19 gC/m 2 a) > cultivated land (229.47 gC/m 2 a) > grassland (176.89 gC/m 2 a) > bare land (113.46 gC/m 2 a). According to Zhu et al [37], the multi-year average grassland NPP in Ningxia from 2010 to 2015 was 148.28 gC/m 2 a, which was not meaningfully different from the results in this paper.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Drivers of Net Primary Productivity Spatio-Temporal Variation in Ningxia, China

Zhao

et al. 2023

Forests

View full text Add to dashboard Cite

The drivers and spatial distribution trends for net primary productivity (NPP) in Ningxia were studied to determine the priority vegetation restoration areas. NPP data from MOD17 A3 were used to determine the future NPP trends through slope trend analysis and the Hurst index. Spatial drivers were defined by a geographic detector and correlation analysis. Results indicate that NPP positively fluctuated from 2000 to 2020 with an average range between 119.98 and 249.66 gC/m2a, and a multi-year average of 190.15 gC/m2a. The spatial distribution has more obvious divergent characteristics, showing distribution characteristics of low in the central and northern sides and high in the southern and northern middle. Superimposed on the analysis of slope and Hurst indices, the future vegetation NPP in Ningxia will show four scenarios of continuous increase, continuous decrease, change from increase to decrease and change from decrease to increase, accounting for 22.35%, 1.36%, 71.42% and 2.86% of the area of the region, respectively. Driving factor influence can be divided into dominant factors and important factors. The interaction between the two factors is positive, and the maximum q value under the interaction of precipitation and temperature is 0.687. NPP is mainly driven by climatic factors in 50.92% of the area and is mainly distributed in the central, western and southern parts of Ningxia. The non-climatic-factor-driven areas can be used as priority vegetation restoration areas, which accounting for 47.08%, are mainly concentrated in the northern Yellow River irrigation area, the desert steppe in the central and eastern parts, and a small part in the southern Liupan Mountains.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Drivers of Net Primary Productivity Spatio-Temporal Variation in Ningxia, China

Zhao

et al. 2023

Forests

View full text Add to dashboard Cite

show abstract

“…Precipitation plays an important role in vegetation growth in arid and semi-arid regions. Vegetation is more sensitive to precipitation [47], and vegetation growth has a certain impact on soil properties [48], resulting in differences in soil quality. This study showed that precipitation can indirectly affect soil quality through its effects on vegetation.…”

Section: Analysis Of Dominant Factors Affecting Soil Qualitymentioning

confidence: 99%

Soil Quality Evaluation of Typical Vegetation and Their Response to Precipitation in Loess Hilly and Gully Areas

Xiang,

Qiang,

Liu

et al. 2023

Forests

View full text Add to dashboard Cite

The selection of suitable tree species and the reasonable allocation of planting areas are important measures for improving soil quality. This study aimed to investigate the characteristics of typical vegetation type soil quality differences and their dominant factors in loess hilly–gully areas after returning farmland to the forest (grassland). The soil quality status and dominant factors of arbors, shrubs and grasslands in the study area were comprehensively analyzed using the soil quality index (SQI) and structural equation modeling (SEM). The results showed the following: (1) In the study area, the shrub forest had a high capacity for air permeability, water retention and nitrogen fixation. (2) The soil quality of the three vegetation types improved with increasing precipitation, and the soil quality indicator of shrubs was the highest, indicating a better soil quality improvement. However, the soil quality of the arbors and grasslands showed a greater percentage increase. In the precipitation range of 400–410 mm, the soil quality of shrub forests was significantly higher than that of arbors and grasslands. (3) Structural equation modeling analysis indicated that precipitation, vegetation and soil factors are closely related to soil quality. Further analysis showed that soil bulk density, porosity, capillary water-holding capacity, soil organic carbon and total phosphorus were the dominant factors affecting the soil quality in the study area. The purpose of this study was to evaluate quantitatively the soil quality after different vegetation types under different precipitation gradients, to clarify the variation trend of soil quality at different vegetation types with different precipitation gradients and to provide a scientific basis and data support for the quantitative evaluation of vegetation restoration and selection of tree species and vegetation configuration within different precipitation gradients in loess hilly and gully regions in the future.

show abstract

Spatio-temporal variation of Fraction of Photosynthetically Active Radiation absorbed by vegetation in the Hengduan Mountains, China

Yang

Zhang

et al. 2021

J. Mt. Sci.

View full text Add to dashboard Cite

Spatiotemporal characteristics of grassland net primary production in Ningxia Province from 2000 to 2015 and its response to climate change

Cited by 3 publications

References 0 publications

Drivers of Net Primary Productivity Spatio-Temporal Variation in Ningxia, China

Drivers of Net Primary Productivity Spatio-Temporal Variation in Ningxia, China

Soil Quality Evaluation of Typical Vegetation and Their Response to Precipitation in Loess Hilly and Gully Areas

Spatio-temporal variation of Fraction of Photosynthetically Active Radiation absorbed by vegetation in the Hengduan Mountains, China

Contact Info

Product

Resources

About