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Full-Text Articles in Life Sciences

Responses Of Nutrient Resorption To Human Disturbances In Phoebe Bournei Forests, Dehuang Zhu, Suhong Peng, Jinyan Wang, Dafeng Hui Jun 2022

Responses Of Nutrient Resorption To Human Disturbances In Phoebe Bournei Forests, Dehuang Zhu, Suhong Peng, Jinyan Wang, Dafeng Hui

Biology Faculty Research

Nutrient resorption plays an important role in the nutrient conservation of plants and ecosystem nutrient cycling. Although community succession and nutrient addition could regulate plant nutrient resorption, how resorptions of foliar nutrients vary with human disturbances remains unclear. With the economic development, Phoebe bournei forests (PF) have suffered varying degrees of human disturbances in China. In this study, the leaf nutrient resorption efficiency (RE) of the PF under two disturbances (i.e., severe and mild disturbances) were investigated. Results showed that the phosphorus (P) contents of green leaf, senesced leaf, and soil were low under both disturbances, reflecting that the PF …


Examining The Integration Of Landsat Operational Land Imager With Sentinel-1 And Vegetation Indices In Mapping Southern Yellow Pines (Loblolly, Shortleaf, And Virginia Pines), Clement E. Akumu, Eze O. Amadi Jan 2022

Examining The Integration Of Landsat Operational Land Imager With Sentinel-1 And Vegetation Indices In Mapping Southern Yellow Pines (Loblolly, Shortleaf, And Virginia Pines), Clement E. Akumu, Eze O. Amadi

Agricultural and Environmental Sciences Faculty Research

The mapping of southern yellow pines (loblolly, shortleaf, and Virginia pines) is important to supporting forest inventory and the management of forest resources. The overall aim of this study was to examine the integration of Landsat Operational Land Imager (OLI ) optical data with Sentinel-1 microwave C-band satellite data and vegetation indices in mapping the canopy cover of southern yellow pines. Specifically, this study assessed the overall mapping accuracies of the canopy cover classification of southern yellow pines derived using four data-integration scenarios: Landsat OLI alone; Landsat OLI and Sentinel-1; Landsat OLI with vegetation indices derived from satellite data—normalized difference …