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   Articles with "height crown" as a keyword



Height and crown allometries and their relationship with functional traits: An example from a subtropical wet forest

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recommendations! Published in 2023 at "Ecology and Evolution"

DOI: 10.1002/ece3.9804

Abstract: Abstract Forest tree communities are largely structured by interactions between phenotypes and their environments. Functional traits have been popularized as providing key insights into plant functional tradeoffs. Similarly, tree crown—stem diameter and tree height—stem diameter… read more here.

Keywords: functional traits; height crown; relationship; wood ... See more keywords

A generalized nonlinear mixed-effects height to crown base model for Mongolian oak in northeast China

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recommendations! Published in 2017 at "Forest Ecology and Management"

DOI: 10.1016/j.foreco.2016.09.012

Abstract: Abstract Tree height to crown base (HCB) is an important variable commonly included as one of the predictors in growth and yield models that are the decision-support tools in forest management. In this study, we… read more here.

Keywords: sample; mixed effects; model; random effects ... See more keywords

Determining tree height and crown diameter from high-resolution UAV imagery

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recommendations! Published in 2017 at "International Journal of Remote Sensing"

DOI: 10.1080/01431161.2016.1264028

Abstract: ABSTRACT Advances in computer vision and the parallel development of unmanned aerial vehicles (UAVs) allow for the extensive use of UAV in forest inventory and in indirect measurements of tree features. We used UAV-sensed high-resolution… read more here.

Keywords: height crown; high resolution; imagery; crown diameter ... See more keywords

Two-level mixed-effects height to crown base model for moso bamboo (Phyllostachys edulis) in Eastern China

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recommendations! Published in 2023 at "Frontiers in Plant Science"

DOI: 10.3389/fpls.2023.1095126

Abstract: Height to crown base (HCB) is an important predictor variable for forest growth and yield models and is of great significance for bamboo stem utilization. However, existing HCB models built so far on the hierarchically… read more here.

Keywords: mixed effects; height crown; bamboo; crown base ... See more keywords

LiDAR-Based Modeling of Individual Tree Height to Crown Base in Picea crassifolia Kom. in Northern China: Comparing Bayesian, Gaussian Process, and Random Forest Approaches

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recommendations! Published in 2024 at "Forests"

DOI: 10.3390/f15111940

Abstract: This study compared hierarchical Bayesian, mixed-effects Gaussian process regression, and random forest models for predicting height to crown base (HCB) in Qinghai spruce (Picea crassifolia Kom.) forests using LiDAR-derived data. Both modeling approaches were applied… read more here.

Keywords: random; gaussian process; random forest; model ... See more keywords