He, Z.; Luo, J.; Zhang, B.; Wang, L.; Liu, H.; Ma, X.; Yue, T. Quantitative Characteristics and Environmental Interpretation of Vegetation Restoration in Burned Areas of the Dry Valleys of Southwest China. Forests2023, 14, 2190.
He, Z.; Luo, J.; Zhang, B.; Wang, L.; Liu, H.; Ma, X.; Yue, T. Quantitative Characteristics and Environmental Interpretation of Vegetation Restoration in Burned Areas of the Dry Valleys of Southwest China. Forests 2023, 14, 2190.
He, Z.; Luo, J.; Zhang, B.; Wang, L.; Liu, H.; Ma, X.; Yue, T. Quantitative Characteristics and Environmental Interpretation of Vegetation Restoration in Burned Areas of the Dry Valleys of Southwest China. Forests2023, 14, 2190.
He, Z.; Luo, J.; Zhang, B.; Wang, L.; Liu, H.; Ma, X.; Yue, T. Quantitative Characteristics and Environmental Interpretation of Vegetation Restoration in Burned Areas of the Dry Valleys of Southwest China. Forests 2023, 14, 2190.
Abstract
Fire is a common natural disturbance in forest ecosystems and plays an important role in subsequent vegetation patterns. Based on the spatial sequence method instead of the time successional sequence method, this study selected burned areas in different locations in the Anning River Basin, which contains typical dry valleys. Quadrat surveys and quantitative classification were used to identify the vegetation classification, distribution pattern, and environmental interpretation during the natural restoration process after forest fire. The results showed that: (1) the vegetation community in the early stage of natural recovery after forest fire disturbance could be divided into seven community types, and Quercus guyavaefolia H. Leveille (Qg) was the dominant species in the community; (2) vegetation samples could be divided into five ecological types, and the classification and distribution pattern of community types in this region changed most obviously with altitude; and (3) detrended correspondence analysis could clearly classify vegetation community types, and detrended canonical correspondence analysis could well reveal the relationships between species and environmental factors. This study provides a scientific basis guiding the restoration of ecosystem structural stability and biodiversity in burned areas.
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