2 research outputs found

    Data underlying the publication: "Estimation of above‐ground biomass of large tropical trees with terrestrial LiDAR"

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    This dataset contains data underlying the publication: "Estimation of above‐ground biomass of large tropical trees with terrestrial LiDAR" and consists of the following data folders: 1_ReferenceMeasurementData (Destructive sampling tree AGB data): Destructive sampling measurement data of 29 large tropical trees from 3 sites (Indonesia, Peru and Guyana) for estimating tree wood volume and tree AGB. 2_AllometricEqInventoryData (Forest inventory data): Forest inventory data of 29 individual large tropical trees from 3 sites (Indonesia, Peru and Guyana) for estimating tree AGB with allometric equations. 3_QsmCylinderData (Quantitative Structure Models): Quantitative Structural Models (QSM) cylinder model outputs (3D tree architecture models), generated from the individual TLS point cloud data of 29 large tropical trees from 3 sites (Indonesia, Peru and Guyana). 4_LidarTreePoinCloudData (TLS tree point cloud data): TLS point cloud data for 29 large tropical trees in 3 study sites: Indonesia (peat swamp forest in Central Kalimantan, Borneo), Peru (lowland tropical moist forest in Madre de Dios) and Guyana (lowland tropical moist forest in Cayuni-Mazaruni).</p

    Dataset for De Pauw et al. (2024) Nutrient-demanding and thermophilous plants dominate urban forest edge vegetation across temperate Europe

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     Understorey plant community data and statistical code * vegetation matrix * species list with species' characteristics * dataset with vegetation response variables and predictor variables used in mixed models R code scripts * script with mixed models explaining vegetation response variables by urban edge distance, forest structure and interaction *script with mixed models explaining vegetation response variables by PCA predictor variables based on soil conditions and microclimate variables & drivers *script that produces figures with vegetation response predictions in terms of urban edge distance and forest structure</p
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