Past distribution of epiphyllous liverworts in China: The usability of historical data
Jiang, Yanbin1; Wang, Tiejun2; Wu, Yupeng1; Hu, Ronggui1; Huang, Ke3; Shao, Xiaoming4
Corresponding AuthorWang, Tiejun(t.wang@utwente.nl) ; Shao, Xiaoming(shaoxm@cau.edu.cn)
AbstractEpiphyllous liverworts form a special group of bryophytes that primarily grow on the leaves of understory vascular plants in tropical and subtropical evergreen broadleaf forests. Being sensitive to moisture and temperature changes, epiphyllous liverworts are often considered to be good indicators of climate change and forest degradation. However, they are a poorly collected and taxonomically complicated group, with an only partly identified distribution pattern. In this study, we built four models based on 24 environmental variables at four different spatial resolutions (i.e., 1km, 5km, 10km, and 15km) to predict the past distribution of epiphyllous liverworts in China, using Maxent model and 63 historical location records (i.e., presence-only data). Both area under the curve of the receiver operating characteristic (AUC) and true skill statistic (TSS) methods are used to assess the model performance. Results showed that the model with the predictors at a 15-km resolution achieved the highest predictive accuracy (AUC=0.946; TSS=0.880), although there was no statistically significant difference between the four models (p>0.05). The most significant environmental variables included aridity, annual precipitation, precipitation of wettest month, precipitation of wettest quarter, and precipitation of warmest quarter, annual mean NDVI, and minimum NDVI. The predicted suitable areas for epiphyllous liverworts were mainly located in the south of Yangtze River and seldom exceed 35 degrees N, which were consistent with the museum and herbarium records, as well as the historical records in scientific literatures. Our study further demonstrated the value of historical data to ecological and evolutionary studies.
Keywordbryophytes environmental variables historical records maxent species distribution model
Indexed BySCI
Funding ProjectNational Natural Science Foundation of China[31300356] ; Natural Science Foundation of Hubei Province[2016CFB556] ; Fundamental Research Funds for the Central Universities[2014BQ025]
Funding OrganizationNational Natural Science Foundation of China ; Natural Science Foundation of Hubei Province ; Fundamental Research Funds for the Central Universities
WOS Research AreaEnvironmental Sciences & Ecology ; Evolutionary Biology
WOS SubjectEcology ; Evolutionary Biology
WOS IDWOS:000442492100016
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Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Corresponding AuthorWang, Tiejun; Shao, Xiaoming
Affiliation1.Huazhong Agr Univ, Coll Resources & Environm, Minist Agr, Key Lab Arable Land Conservat Middle & Lower Reac, Wuhan, Hubei, Peoples R China
2.Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, Enschede, Netherlands
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China
4.China Agr Univ, Coll Resources & Environm Sci, Beijing Key Lab Biodivers & Organ Farming, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Jiang, Yanbin,Wang, Tiejun,Wu, Yupeng,et al. Past distribution of epiphyllous liverworts in China: The usability of historical data[J]. ECOLOGY AND EVOLUTION,2018,8(15):7436-7450.
APA Jiang, Yanbin,Wang, Tiejun,Wu, Yupeng,Hu, Ronggui,Huang, Ke,&Shao, Xiaoming.(2018).Past distribution of epiphyllous liverworts in China: The usability of historical data.ECOLOGY AND EVOLUTION,8(15),7436-7450.
MLA Jiang, Yanbin,et al."Past distribution of epiphyllous liverworts in China: The usability of historical data".ECOLOGY AND EVOLUTION 8.15(2018):7436-7450.
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