Vegetation Growth Status and Topographic Effects in the Pisha Sandstone Area of China

Wang, Ruijie; Yan, Feng; Wang, Yanjiao

doi:10.3390/rs12172759

Cited by 19 publications

(15 citation statements)

References 44 publications

(53 reference statements)

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“…These studies have shown strong correlations between vegetation cover changes and precipitation and temperature. Other natural factors, such as topographic factors, impact vegetation formation and vegetation cover, among which slope and aspect can affect regional vegetation humidity, sunshine radiation, and temperature [17][18][19]. Nowadays, with the intervention of human activities on the natural environment, influences on the spatial change of vegetation cover and vegetation productivity also tend to increase [20].…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Changes and Driving Forces of Vegetation Coverage on the Loess Plateau of Northern Shaanxi

et al. 2021

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As an important indicator of terrestrial ecosystems, vegetation plays an important role in the study of global or regional ecological environmental changes. Northern Shaanxi is located in the ecologically fragile area of the Loess Plateau, which is affected by interactions between natural and human factors. Here, we used the Normalized Difference Vegetation Index (NDVI) as an indicator to study the temporal and spatial variations of vegetation in Northern Shaanxi from 2000 to 2018. Based on the geographic detector method which can detect spatial differentiation, we analyzed the spatial differentiation characteristics and driving forces of vegetation in Northern Shaanxi, and revealed the most appropriate range or type of influencing factors for promoting vegetation growth. The results showed that the overall vegetation coverage improved in the study area, and NDVI showed an increasing trend with a growth rate of 0.10/10 years from 2000 to 2018. Natural and human factors are crucial driving forces of NDVI change, among which gross domestic product, land-use type, slope, and temperature have the greatest influence. The interaction between natural and human factors on NDVI was dominated by nonlinear and mutual enhancement effects, and the influence of interactions among all factors was significantly higher than that of a single factor. The range or types of factors suitable for vegetation growth were analyzed in the study area, and the joint action of natural and human factors had a more significant impact on vegetation. These findings provide a scientific basis for local governments to intervene in vegetation changes and ecological restoration through natural and human factors within the favorable scope.

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Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Changes and Driving Forces of Vegetation Coverage on the Loess Plateau of Northern Shaanxi

et al. 2021

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“…To eliminate the area difference between the levels of different terrain factors and the area difference between different land use types, in this study, standardized and dimensionless topographic distribution index is introduced to describe the distribution of varying land use types on different terrain gradients, the formula is as follows [24]:…”

Section: Topographic Distribution Indexmentioning

confidence: 99%

Terrain Gradient Effect of Land Use and Its Driving Factors in the Qinghai-Tibet Plateau

Wang¹,

Wang²

2022

Pol. J. Environ. Stud.

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Terrain is an important influencing factor of land use/cover change, it is of great significance to study the relationship between land use and terrain gradient. To analyze the relationship between elevation, slope, aspect, terrain niche index (TNI), topographic relief (TR), and land use, this study took the Qinghai-Tibet Plateau (QTP) as the research area, adopted the five periods of land use data from 1980 to 2015 and Digital Elevation Model (DEM) data, using the topographic distribution index and the comprehensive index of land use degree. The results were as follows: (1) The optimal calculation window size for TR in the QTP was 31.4841 km 2 . (2) The terrain gradient effect of grassland, built-up land, cropland, forest, and water body was significant. Unused land mainly affected the comprehensive index of land use degree. (3) The comprehensive analysis of TNI could better analyze the impact of terrain on land use. (4) The main driving factors were natural and human factors. The results revealed the terrain gradient effect of land use in the QTP, which could provide a reference for overall land planning, management, and sustainable use of land resources.

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“…This method minimizes the influence of background factors, including soil, and has been widely used for extracting FVC, providing excellent results. used the dimidiate pixel model to obtain FVC and the vegetation growth status in the Pisha sandstone area of China [34]. Li et al (2020) analyzed the FVC response to climatic factors in the 2000-2017 growing season in Sichuan Province, China, using the dimidiate pixel model [35].…”

Section: Introductionmentioning

confidence: 99%

Assessing Land Cover and Ecological Quality Changes in the Forest-Steppe Ecotone of the Greater Khingan Mountains, Northeast China, from Landsat and MODIS Observations from 2000 to 2018

Shi

Liu²,

Qiu³

et al. 2022

Remote Sensing

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Land cover changes are the main factors driving the evolution of regional ecological quality. These changes must be considered in the strategic formulation of regional or national ecological policies. The forest-steppe ecotone in the Greater Khingan Mountains is an important ecological barrier in northern China. To measure the effect of ecological protection in recent years, Landsat images, object-oriented image segmentation, and convolutional neural networks were used to create land cover datasets of the forest-steppe ecotone. The Carnegie–Ames–Stanford approach (CASA) and the dimidiate pixel model were used to derive net primary productivity (NPP) and fractional vegetation cover (FVC) to assess the ecological quality of this area. The results showed that only grassland and urban land increased, whereas saline–alkali land and desert areas initially increased and then decreased from 2010 to 2018, indicating that the desertification process was substantially curbed. Total NPP increased by 26.3% (2000–2010) and 10.8% (2010–2018). However, NPP decreased slightly in the center of the study area. FVC first decreased and then increased, and the increased areas were concentrated in the forest-steppe ecotone, saline–alkali land, and desert zone in Xin Barag Left Banner. These observations indicate that the ecological quality has gradually improved due to the strict protection of forest and grassland resources and the suppression of desertification. Our results provide potential insights for land use planning and the development of environmental protection measures in the forest-steppe ecotone.

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Vegetation Growth Status and Topographic Effects in the Pisha Sandstone Area of China

Cited by 19 publications

References 44 publications

Spatio-Temporal Changes and Driving Forces of Vegetation Coverage on the Loess Plateau of Northern Shaanxi

Spatio-Temporal Changes and Driving Forces of Vegetation Coverage on the Loess Plateau of Northern Shaanxi

Terrain Gradient Effect of Land Use and Its Driving Factors in the Qinghai-Tibet Plateau

Assessing Land Cover and Ecological Quality Changes in the Forest-Steppe Ecotone of the Greater Khingan Mountains, Northeast China, from Landsat and MODIS Observations from 2000 to 2018

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