Vegetation as an ecological indicator in assessing environmental restoration in mining areas

Yu, Haoxuan; Zahidi, Izni; Chow, Ming Fai

doi:10.1016/j.isci.2023.107667

Cited by 6 publications

(4 citation statements)

References 24 publications

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“…This similarity can be attributed to the planting of the same dominant species found in the top canopy layer of the reference forest during the restoration process. Planting the same dominant species as those in the top canopy layer of the reference forest plays a crucial role in reforestation across various biomes over an extended period [30,31]. However, the similarity of the sub-canopy and shrub layers between the Restored Forest and the reference forest was lower than that of the top canopy layer.…”

Section: Discussionmentioning

confidence: 99%

Assessment of Temperate Deciduous Forest Communities and Structures after Restoration through the Multi-Reference Ecosystems Framework

Won,

Song

2024

Forests

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The reference forest serves as a model for forest ecosystem restoration and can be employed to assess the vegetation of the Restored Forest, thereby confirming the success of restoration. When evaluating restoration, employing multireference forests is advantageous for discerning gradual changes in Restored Forests. However, in previous studies, their utilization has been limited to comparisons with individual ecosystems. Therefore, this study investigates the status of Restored Forests in previously damaged areas and their resemblance to reference forests across four forest types, namely Climax Forest (CF), Secondary Forest (SF), Restored Forest (RF), and Planted Forest (PF). Reference forests, serving as model targets for restoration, include CF and SF, while RF and PF represent the restoration forests. Six target sites within two temperate deciduous forests (Quercus acutissima and Quercus variabilis) were selected, and a comparative analysis of species diversity, dominance, and evenness was conducted. This study revealed that the dominant species in the top canopy of restoration forests mirrored those in reference forests, with Q. variabilis and Q. acutissima being prevalent. A similarity index of over 60% and a high correlation of 0.987 were observed in the top canopy layer between the reference and restored ecosystems (CF-RF/SF-PF). These findings enhance our understanding of the current status of Restored Forests and advocate for the utilization of multiple reference forests for successful restoration efforts.

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Section: Discussionmentioning

confidence: 99%

Assessment of Temperate Deciduous Forest Communities and Structures after Restoration through the Multi-Reference Ecosystems Framework

Won,

Song

2024

Forests

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“…To compare the impact of natural factors (temperature, precipitation) and human activities on vegetation restora tion, the relative contribution is used to quantify the impact extent of temperature, pre cipitation, and human activities on vegetation restoration in this paper. The definition o relative contribution is shown in Equation (9).…”

Section: Comparison Of the Impacts Of Natural Factors And Human Activ...mentioning

confidence: 99%

“…To compare the impacts of natural factors (temperature, precipitation) and human activities on vegetation restoration, the relative contribution is used to quantify the impact extent of temperature, precipitation, and human activities on vegetation restoration in this paper. The definition of relative contribution is shown in Equation (9). where NDVI-HA, NDVI t , NDVI p denote the changes of NDVI caused by human activities, temperature, and precipitation, and C HA , C t , and C p denote the relative contribution of human activities, temperature, and precipitation, respectively.…”

Section: Comparison Of the Impacts Of Natural Factors And Human Activ...mentioning

confidence: 99%

“…Finally, the inflow and outflow of the vegetation area in each period were counted to evaluate the effect of vegetation restoration in mining areas [7,8]. The second category is to classify the vegetation cover into 2 of 17 different levels, and analyze the spatial characteristics of vegetation restoration by counting the changes of the areas and proportions for different levels [9][10][11]. The third category evaluates and predicts the trend of vegetation restoration from a temporal perspective using mathematical and statistical methods.…”

Section: Introductionmentioning

confidence: 99%

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Evaluating the Impact of Human Activities on Vegetation Restoration in Mining Areas Based on the GTWR

Guo,

Li,

Zhang

et al. 2024

IJGI

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The clarification of the impact of human activities on vegetation in mining areas contributes to the harmonization of mining and environmental protection. This study utilized Geographically and Temporally Weighted Regression (GTWR) to establish a quantitative relationship among the Normalized Difference Vegetation Index (NDVI), temperature, precipitation, and Digital Elevation Model (DEM). Furthermore, residual analysis was performed to remove the impact of natural factors and separately assess the impact of human activities on vegetation restoration. The experiment was carried out in Shangwan Mine, China, and following results were obtained: (1) During the period of 2000 to 2020, intensified huan activities corresponded to positive vegetation changes (NDVI-HA) that exhibited an upward trend over time. (2) The spatial heterogeneity of vegetation restoration was attributed to the DEM. It is negatively correlated with NDVI in natural conditions, while under the environment of mining activities, there is a positive correlation between NDVI-HA and DEM. (3) The contribution of human activities to vegetation restoration in mining areas has been steadily increasing, surpassing the influences of temperature and precipitation since 2010. The results of this study can provide important references for the assessment of vegetation restoration to some extent in mining areas.

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Reimagining resources policy: Synergizing mining waste utilization for sustainable construction practices

Yu,

Zahidi,

Chow

et al. 2024

Journal of Cleaner Production

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Vegetation as an ecological indicator in assessing environmental restoration in mining areas

Cited by 6 publications

References 24 publications

Assessment of Temperate Deciduous Forest Communities and Structures after Restoration through the Multi-Reference Ecosystems Framework

Assessment of Temperate Deciduous Forest Communities and Structures after Restoration through the Multi-Reference Ecosystems Framework

Evaluating the Impact of Human Activities on Vegetation Restoration in Mining Areas Based on the GTWR

Reimagining resources policy: Synergizing mining waste utilization for sustainable construction practices

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