DOI: 10.3390/f11020174
论文题名: Using count data models to predict epiphytic bryophyte recruitment in Schima superba Gardn. et Champ. plantations in urban forests
作者: Zhao D. ; Sun Z. ; Wang C. ; Hao Z. ; Sun B. ; Zuo Q. ; Duan W. ; Bian Q. ; Bai Z. ; Wei K. ; Pei N.
刊名: Forests
ISSN: 19994907
出版年: 2020
卷: 11, 期: 2 语种: 英语
英文关键词: Afforestation
; Colonization
; Hurdle-negative binomial model
; Hurdle-Poisson
; Mosses
; Negative binomial
; Poisson
; Zero-inflated negative binomial
; Zero-inflated poisson
Scopus关键词: Ecosystems
; Plants (botany)
; Reforestation
; Afforestation
; Colonization
; Hurdle-Poisson
; Mosses
; Negative binomial
; Negative binomial models
; Poisson
; Zero-inflated
; Urban growth
; Bryophyta
; bryophytes
; Schima superba
英文摘要: 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 worldwide have had a positive effect on the colonization and development of epiphytic bryophytes. However, how epiphytic bryophytes occur and grow on planted trees remain poorly known, especially in urban environments. In the present study, we surveyed the distribution of epiphytic bryophytes on tree trunks in a Schima superba Gardn. et Champ. urban plantation and then developed count data models, including tree characteristics, stand characteristics, human disturbance, terrain factors, and microclimate to predict the drivers on epiphytic bryophyte recruitment. Different counting models (Poisson, Negative binomial, Zero-inflated Poisson, Zero-inflated negative binomial, Hurdle-Poisson, Hurdle-negative binomial) were compared for a data analysis to account for the zero-inflated data structure. Our results show that (i) the shaded side and base of tree trunks were the preferred locations for bryophytes to colonize in urban plantations, (ii) both hurdle models performed well in modeling epiphytic bryophyte recruitment, and (iii) both hurdle models showed that the tree height, diameter at breast height (DBH), leaf area index (LAI), and altitude (ALT) promoted the occurrence of epiphytic bryophytes, but the height under branch and interference intensity of human activities opposed the occurrence of epiphytic bryophytes. Specifically, DBH and LAI had positive effects on the species richness recruitment count; similarly, DBH and ALT had positive effects on the abundance recruitment count, but slope had a negative effect. To promote the occurrence and growth of epiphytic bryophytes in urban tree planting programs, we suggest that managers regulate suitable habitats by cultivating and protecting large trees, promoting canopy closure, and controlling human disturbance. © 2020 by the authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/159816
Appears in Collections: 气候变化与战略
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作者单位: Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China; Key Laboratory of Tree Breeding and Cultivation and Urban Forest Research Center, National Forestry and Grassland Administration, Beijing, 100091, China; College of Art, Tianjin University of Finance and Economics, Tianjin, 300222, China; Shenzhen Key Laboratory of Southern Subtropical Plant Diversity, Fairy Lake Botanical Garden, Shenzhen and Chinese Academy of Sciences, Shenzhen, 518004, China; Research Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou, 510520, China
Recommended Citation:
Zhao D.,Sun Z.,Wang C.,et al. Using count data models to predict epiphytic bryophyte recruitment in Schima superba Gardn. et Champ. plantations in urban forests[J]. Forests,2020-01-01,11(2)