Using Count Data Models to Predict Epiphytic Bryophyte Recruitment in <i>Schima superba</i> Gardn. et Champ. Plantations in Urban Forests

Using Count Data Models to Predict Epiphytic Bryophyte Recruitment in <i>Schima superba</i> Gardn. et Champ. Plantations in Urban Forests

Epiphytic bryophytes are known to perform essential ecosystem functions, but their sensitivity to environmental quality and change makes their survival and development vulnerable to global changes, especially habitat loss in urban environments. Fortunately, extensive urban tree planting programs wor...

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Bibliographic Details
Main Authors: Dexian Zhao, Zhenkai Sun, Cheng Wang, Zezhou Hao, Baoqiang Sun, Qin Zuo, Wenjun Duan, Qi Bian, Zitong Bai, Kaiyue Wei, Nancai Pei
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Forests
Subjects:
mosses
colonization
afforestation
poisson
negative binomial
zero-inflated poisson
zero-inflated negative binomial
hurdle-poisson
hurdle-negative binomial model
Online Access:https://www.mdpi.com/1999-4907/11/2/174

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https://www.mdpi.com/1999-4907/11/2/174

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