Mineral-associated organic matter (MAOM) constitutes a significant portion of carbon (C) pools in wetlands, determining their role as C sinks or sources. Nevertheless, detailed knowledge of the response of MAOM formation pathways to wetland restoration is lacking. Here, we collected 0-20 cm soil samples from two typical wetlands (meadow and peat wetlands) subjected to both grazing and restoration treatments (through micro dam construction) in the Zoige area.
View Article and Find Full Text PDFAlpine wetlands are critical ecosystems for global carbon (C) cycling and climate change mitigation. Ecological restoration projects for alpine grazing wetlands are urgently needed, especially due to their critical role as carbon (C) sinks. However, the fate of the C pool in alpine wetlands after restoration from grazing remains unclear.
View Article and Find Full Text PDFWeeping cypress is an endemic tree species that is widely planted in China, and the simple stand structure and fragile ecosystem of its plantation are common issues. Exploring the effect of different gap sizes on the soil bacterial community structure of weeping cypress plantations can provide a theoretical basis for the near-natural management of forest plantations. We, therefore, constructed three kinds of forest gaps with different sizes in weeping cypress plantations, namely, small (50-100 m), medium (100-200 m), and large gaps (400-667 m), for identifying the key factors that affect soil bacterial communities following the construction of forest gaps.
View Article and Find Full Text PDFThinning can significantly promote forest productivity and ecological function. Rhizosphere fungi play an indispensable role in regulating nutrient cycling between plants and the environment, and their community composition can positively respond to anthropogenic disturbance. However, the initial effects of thinning on rhizosphere fungal community assembly have seldom been reported.
View Article and Find Full Text PDFAt present, many Deep Neural Network (DNN) methods have been widely used for hyperspectral image classification. Promising classification results have been obtained by utilizing such models. However, due to the complexity and depth of the model, increasing the number of model parameters may lead to an overfitting of the model, especially when training data are insufficient.
View Article and Find Full Text PDFSpecies composition and diversity of undergrowth vegetation community under different thinning intensities (0, 10%, 20%, 30%, 40%, 50%) were examined at the initial stage of thinning in 29-year-old plantation in the low mountain region of eastern Sichuan. The results show that all the thinning treatments could reduce the absolute dominance of and . The dominant species composition of shrubs in each treatment was different.
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