Knowledge Management System Of Institute Of Botany,CAS
Incomplete species lists derived from global and regional specimen-record databases affect macroecological analyses: A case study on the vascular plants of China | |
Qian, Hong1; Deng, Tao; Beck, Jan2; Sun, Hang; Xiao, Cui3; Jin, Yi4; Ma, Keping3 | |
2018 | |
发表期刊 | JOURNAL OF BIOGEOGRAPHY |
ISSN | 0305-0270 |
卷号 | 45期号:12页码:2718-2729 |
摘要 | Aim Online species distribution data, global or regional, are increasingly used in biodiversity studies although data limitations have been reported. We explore, for the two major databanks in our research region, how incomplete data are at a large taxonomic and geographic scale, how it is affected by spatial grain, and to what degree it affects inference from analyses of richness or turnover and the environment. Location Major taxa studied China. Vascular plants. Methods Results We assembled species lists of all vascular plants from the Global Biodiversity Information Facility (GBIF) and the National Specimen Information Infrastructure (NSII) at three spatial scales (national, provincial, county). We determined the completeness of each compilation by comparing the number of species with that from inventory-based species list (for 28 provinces, 14 counties, and 146 nature reserves within counties). We related richness from each of the data sources (GBIF, NSII, inventory) to environmental variables (temperature, precipitation, elevational range) and compared regression models among the three data sources. We quantified floristic similarity between regions based on the three data sources and related species turnover to geographic and environmental distances. Data incompleteness was prevalent at all spatial grains, but it increased with decreasing grain and it was higher for GBIF than for NSII. At the national scale, GBIF included 64.1% and NSII included 89.4% of true species richness in China. At the county scale these figures dropped to an average of 12.7% for GBIF and 60.0% for NSII. This changed the order and significance of environmental determinants of richness in regression models. The relationship between floristic similarity and geographic or environmental distance was shallower for GBIF and NSII, compared to inventory data. When the GBIF data were supplemented with the NSII data, the data completeness of GBIF increased from 64.1% to 90.8% at the national scale, from 37.2% to 89.0% at the province scale, and from 12.7% to 63.0% at the county scale. Main conclusions Main specimen-record databases are incomplete, which has the potential to heavily affect ecological patterns and mechanisms inferred from these data. Biodiversity analyses based on raw species lists from such sources should be viewed with utmost caution. |
关键词 | Beta diversity GBIF NSII online data quality species richness species turnover vascular plants |
学科领域 | Ecology ; Geography, Physical |
DOI | 10.1111/jbi.13462 |
收录类别 | SCI |
语种 | 英语 |
WOS关键词 | BETA-DIVERSITY ; LATITUDINAL GRADIENT ; RICHNESS ; SCALE ; PATTERNS ; CONGRUENCE ; HOTSPOTS ; CLIMATE ; DETERMINANTS ; BIOGEOGRAPHY |
WOS记录号 | WOS:000451692100010 |
出版者 | WILEY |
文献子类 | Article |
出版地 | HOBOKEN |
EISSN | 1365-2699 |
资助机构 | National Key R&D Program of China [2017YFC0505200] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [31590823, 31700165] |
作者邮箱 | hqian@museum.state.il.us |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ibcas.ac.cn/handle/2S10CLM1/20588 |
专题 | 植被与环境变化国家重点实验室 |
作者单位 | 1.Chinese Acad Sci, Kunming Inst Bot, Key Lab Plant Divers & Biogeog East Asia, Kunming, Yunnan, Peoples R China 2.Illinois State Museum, Res & Collect Ctr, 1011 East Ash St, Springfield, IL 62703 USA 3.Univ Colorado, Museum Nat Hist, Boulder, CO 80309 USA 4.Chinese Acad Sci, State Key Lab Vegetat & Environm Change, Inst Bot, Beijing, Peoples R China 5.Zhejiang Univ, Coll Life Sci, Hangzhou, Zhejiang, Peoples R China |
推荐引用方式 GB/T 7714 | Qian, Hong,Deng, Tao,Beck, Jan,et al. Incomplete species lists derived from global and regional specimen-record databases affect macroecological analyses: A case study on the vascular plants of China[J]. JOURNAL OF BIOGEOGRAPHY,2018,45(12):2718-2729. |
APA | Qian, Hong.,Deng, Tao.,Beck, Jan.,Sun, Hang.,Xiao, Cui.,...&Ma, Keping.(2018).Incomplete species lists derived from global and regional specimen-record databases affect macroecological analyses: A case study on the vascular plants of China.JOURNAL OF BIOGEOGRAPHY,45(12),2718-2729. |
MLA | Qian, Hong,et al."Incomplete species lists derived from global and regional specimen-record databases affect macroecological analyses: A case study on the vascular plants of China".JOURNAL OF BIOGEOGRAPHY 45.12(2018):2718-2729. |
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