Vegetation coverage change and its response to topography in a typical karst region: the Lianjiang River Basin in Southwest China

Zhou, Qiuwen; Xin, Wei; Zhou, Xu; Cai, Ming; Xu, Yu

doi:10.1007/s12665-019-8218-z

Cited by 22 publications

(10 citation statements)

References 43 publications

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“…The reason is that the “sunny slope” and “semi-sunny slope” received sufficient sunlight, which created an advantageous environment for the vegetation growth. This is consistent with the findings of Zhou et al who considered that variation in vegetation cover on different aspects was caused by differences in the distribution of solar radiation, precipitation, and human activities [ 45 ]. However, the results of the above publications were obtained in urban or mountainous areas, not mining areas.…”

Section: Discussionsupporting

confidence: 92%

The Synergistic Effect of Topographic Factors and Vegetation Indices on the Underground Coal Mine Utilizing Unmanned Aerial Vehicle Remote Sensing

Guo

et al. 2023

IJERPH

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Understanding the synergistic effect between topography and vegetation in the underground coal mine is of great significance for the ecological restoration and sustainable development of mining areas. This paper took advantage of unmanned aerial vehicle (UAV) remote sensing to obtain high-precision topographic factors (i.e., digital elevation model (DEM), slope, and aspect) in the Shangwan Coal Mine. Then, a normalized difference vegetation index (NDVI) was calculated utilizing Landsat images from 2017 to 2021, and the NDVI with the same spatial resolution as the slope and aspect was acquired by down-sampling. Finally, the synergistic effect of topography and vegetation in the underground mining area was revealed by dividing the topography obtained using high-precision data into 21 types. The results show that: (1) the vegetation cover was dominated by “slightly low-VC”, “medium-VC”, and “slightly high-VC” in the study area, and there was a positive correlation between the slope and NDVI when the slope was more than 5°. (2) When the slope was slight, the aspect had less influence on the vegetation growth. When the slope was larger, the influence of the aspect increased in the study area. (3) “Rapidly steep–semi-sunny slope” was the most suitable combination for the vegetation growth in the study area. This paper revealed the relationship between the topography and vegetation. In addition, it provided a scientific and effective foundation for decision-making of ecological restoration in the underground coal mine.

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Section: Discussionsupporting

confidence: 92%

The Synergistic Effect of Topographic Factors and Vegetation Indices on the Underground Coal Mine Utilizing Unmanned Aerial Vehicle Remote Sensing

Guo

et al. 2023

IJERPH

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“…In general, vegetation is influenced by different topographic factors at different scales [11,40], and, therefore, MRs may have marginal effects, so the change in solar radiation may influence local vegetation patterns through changes in soil moisture, especially at local scale [11,14,41]. However, due to the flat surface in this area, it can be concluded that MR and WT both change the In these areas, changes in WT and MR at first influence soil moisture and then salt concentration.…”

Section: Discussionmentioning

confidence: 87%

“…In fact, only a few centimeters is enough to change ecosystem function in terms of physical, chemical and biological characteristics [7][8][9]. In general, MR and WT fluctuations influence vegetation through change the soil variables [10,11]. These changes play important implications for nutrient flow for vegetation even for local terrestrial plants at regional scales [12][13][14][15][16] where MR may completely influence the dynamics of vegetation [17].…”

Section: Introductionmentioning

confidence: 99%

Effect of microrelief and water-table on vegetation dynamics in silty loam saline soils of coastal areas

et al. 2021

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Microrelief (MR) and water-table (WT) severely influence plant communities formation and development in silty loam saline soils of coastal areas. This research aimed to investigate the effect of MR and WT fluctuations on the dynamics of vegetation in coastal silty loam saline soils of southern Iran. Soil characteristics, vegetation structure and composition were investigated through the growing season, and obtained data were submitted to a canonical correspondence analysis. Based on the results, MR (min = 0.5 m and max = 1.0 m) and WT (max = 1 m) fluctuations significantly changed both structure and floristic composition through change in soil characteristics (Sig. < 0.05). Factors of soil moisture content, SAR and Na severely changed under MR and WT fluctuations and received new eigenvalues through the year. Our results demonstrated that a minimum change in MR and/or WT influence soil properties and vegetation structure and composition in silty loam saline soils of coastal areas.

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“…The most direct sign of rocky desertification landscape is the large-area exposure of bedrock and the decline of vegetation coverage. At present, it has become the classification index with the highest selection rate for rocky desertification research [28][29][30][31][32]. In addition, slope is an important natural influence condition in the evolution of rocky desertification and is often used as its grading index.…”

Section: Rocky Desertification Indexmentioning

confidence: 99%

Study on the Coupling Relationship between Relocation for Poverty Alleviation and Spatiotemporal Evolution of Rocky Desertification in Karst Areas of Southwest China

Zhou

Zhu

et al. 2022

Sustainability

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The implementation of China’s ex situ poverty alleviation and relocation project has alleviated the further deterioration of the ecological environment in the relocation area. It can create favorable conditions for the management of ecological problems such as the natural restoration of rocky desertification and soil erosion. Panzhou City, Guizhou Province, is one of the key areas for the implementation of ex situ poverty alleviation and relocation projects in the 13th Five-Year Plan for China’s National Economic and Social Development. The typical ecological problem of karst rocky desertification is an important factor hindering the sustainable development of local society, economy, and ecology. Based on the five-phase remote sensing images and relocated population data, the dynamic change rate, transition matrix, and coupling coordination degree model are utilized to analyze the spatiotemporal changes in rocky desertification in Panzhou City. Meanwhile, the cellular automata (CA) Markov model is used to simulate its future scenarios of rocky desertification. The results show that (i) over the past 20 years, the vegetation coverage in Panzhou has generally increased. The implementation of the ex situ poverty alleviation and relocation project has significantly promoted the reduction of the area and degree of rocky desertification. After relocation (2015–2020), the positive improvement rate of rocky desertification accelerated. (ii) After relocation, the potential rocky desertification (PRD), light rocky desertification (LRD), medium rocky desertification (MRD), severe rocky desertification (SRD), and extreme severe rocky desertification (ESRD) showed a trend of transition to the no rocky desertification (NRD). The improvement effect of rocky desertification is remarkable, and the main contribution is from the PRD and LRD. (iii) The greater the relocation intensity is, the more obvious the improvement effect of the rocky desertification area is, and the higher the corresponding coupling coordination level is. The coupling coordination between LRD and relocation intensity is the highest. (iiii) The forecast results show that by 2025 and 2035, rocky desertification in Panzhou will continue to improve.

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Vegetation coverage change and its response to topography in a typical karst region: the Lianjiang River Basin in Southwest China

Cited by 22 publications

References 43 publications

The Synergistic Effect of Topographic Factors and Vegetation Indices on the Underground Coal Mine Utilizing Unmanned Aerial Vehicle Remote Sensing

The Synergistic Effect of Topographic Factors and Vegetation Indices on the Underground Coal Mine Utilizing Unmanned Aerial Vehicle Remote Sensing

Effect of microrelief and water-table on vegetation dynamics in silty loam saline soils of coastal areas

Study on the Coupling Relationship between Relocation for Poverty Alleviation and Spatiotemporal Evolution of Rocky Desertification in Karst Areas of Southwest China

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