P. He
7 Papers
P. He is an academic researcher. The author has contributed to research in topics: Biology & Environmental science. The author has an hindex of 1, co-authored 1 publications.
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Papers
Climate-sensitive tree height-diameter models for mixed forests in Northeastern China
TL;DR: In this paper , the authors developed climate sensitive mixed effects models for 14 tree species based on 316 natural mixed forest plots in Northeastern China and compared the response of tree height growth to environmental gradients for multiple species.
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Predicting and calibrating height to crown base: a case for Dahurian larch (Larix gmelinii Rupr.) in Northeastern China
TL;DR: In this article , a fixed-effects model (FEM), a mixed effects model (MEM), and quantile regressions (QR) were adopted to predict HCB using data from natural secondary forests of Dahurian larch (Larix gmelinii Rupr.) in Northeastern China.
7
Evaluation of ecoregion-based volume equations for scots pine (pinus sylvestrix) in the eastern daxing’an mountains, northeast china
M.M. Mbangilwa,P. He,L.C. Jiang +2 more
TL;DR: In this paper, total volume equations were developed for Scots pine (Pinus sylvestris var. mongolica) in Northeast China, which were fitted to volumes from Forest Inventory Analysis data of the Eastern Daxing-an Mountains in Northest China.
6
Developing crown width model for mixed forests using soil, climate and stand factors
Dongyuan Tian,P. He,Lichun Jiang,Damodar Gaire +3 more
TL;DR: Developing a crown width model for mixed forests using soil, climate and stand factors. The model includes stand developmental stage, soil, climate, competition intensity, species mixture, species diversity, and structural diversity. The model showed that crown width increased with increasing soil bulk density and quadratic mean diameter, but decreased with increasing aridity index and basal area.
5
Two new methods applied to crown width additive models: a case study for three tree species in Northeastern China
TL;DR: In this paper , a non-linear seemingly unrelated regression mixed-effects model (NSURMEM) and generalized additive model (GAM) were applied for the first time in crown width additive models of larch ( Larix gmelinii Rupr), birch ( Betula platyphylla Suk.), and poplar ( Populus davidiana Dode).