文献类型：期刊文献

英文题名：Using Count Data Models to Predict Epiphytic Bryophyte Recruitment in Schima superba Gardn. et Champ. Plantations in Urban Forests

作者：Zhao, Dexian[1,2,3] Sun, Zhenkai[1,2,3] Wang, Cheng[1,2,3] Hao, Zezhou[1,2,3] Sun, Baoqiang[4] Zuo, Qin[5] Duan, Wenjun[1,2,3] Bian, Qi[1,2,3] Bai, Zitong[1,2,3] Wei, Kaiyue[1,2,3] Pei, Nancai[6]

第一作者：Zhao, Dexian

通信作者：Wang, C[1];Wang, C[2];Wang, C[3]

机构：[1]Chinese Acad Forestry, Res Inst Forestry, Beijing 100091, Peoples R China;[2]Natl Forestry & Grassland Adm, Key Lab Tree Breeding & Cultivat, Beijing 100091, Peoples R China;[3]Natl Forestry & Grassland Adm, Urban Forest Res Ctr, Beijing 100091, Peoples R China;[4]Tianjin Univ Finance & Econ, Coll Art, Tianjin 300222, Peoples R China;[5]Shenzhen & Chinese Acad Sci, Fairy Lake Bot Garden, Shenzhen Key Lab Southern Subtrop Plant Divers, Shenzhen 518004, Peoples R China;[6]Chinese Acad Forestry, Res Inst Trop Forestry, Guangzhou 510520, Peoples R China

年份：2020

卷号：11

期号：2

外文期刊名：FORESTS

收录：;WOS:【SSCI(收录号:WOS:000519236600109)，SCI-EXPANDED(收录号:WOS:000519236600109)】；

基金：This research was funded by Foundation of Key Laboratory of Tree Breeding and Cultivation, State Forestry Administration (grant number ZDRIF201716), and Research Funds of Guangdong Academy of Sciences (grant number 2020GDASYL-20200401001).

语种：英文

外文关键词：mosses; colonization; afforestation; Poisson; negative binomial; zero-inflated Poisson; zero-inflated negative binomial; hurdle-Poisson; hurdle-negative binomial model

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.