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Sampling biases shape our view of the natural world

文献类型:期刊论文

作者Hughes, Alice C.; Orr, Michael C.; Ma, Keping1; Costello, Mark J.; Waller, John4; Provoost, Pieter5; Yang, Qinmin6; Zhu, Chaodong3; Qiao, Huijie3
刊名ECOGRAPHY
出版日期2021
卷号44期号:9页码:1259-1269
关键词biodiversity data distributions global macroecology species richness
ISSN号0906-7590
DOI10.1111/ecog.05926
文献子类Article
英文摘要Spatial patterns of biodiversity are inextricably linked to their collection methods, yet no synthesis of bias patterns or their consequences exists. As such, views of organismal distribution and the ecosystems they make up may be incorrect, undermining countless ecological and evolutionary studies. Using 742 million records of 374 900 species, we explore the global patterns and impacts of biases related to taxonomy, accessibility, ecotype and data type across terrestrial and marine systems. Pervasive sampling and observation biases exist across animals, with only 6.74% of the globe sampled, and disproportionately poor tropical sampling. High elevations and deep seas are particularly unknown. Over 50% of records in most groups account for under 2% of species and citizen-science only exacerbates biases. Additional data will be needed to overcome many of these biases, but we must increasingly value data publication to bridge this gap and better represent species' distributions from more distant and inaccessible areas, and provide the necessary basis for conservation and management.
学科主题Biodiversity Conservation ; Ecology
出版地HOBOKEN
电子版国际标准刊号1600-0587
WOS关键词SPECIES-RICHNESS ; BIODIVERSITY DATA ; GLOBAL DIVERSITY ; PATTERNS ; INFORMATION ; SCALE ; EXTRAPOLATION ; COMPLETENESS ; CONSERVATION ; PUBLICATION
WOS研究方向Science Citation Index Expanded (SCI-EXPANDED)
语种英语
WOS记录号WOS:000663857500001
出版者WILEY
资助机构Chinese National Natural Science Foundation (NSFC) [U1602265] ; National Science Fund for Distinguished Young Scholars [31625024] ; NSFC International Young Scholars Program [31850410464] ; Chinese Academy of Sciences (CAS) President's International Fellowship Initiative [2018PB0003, 2020PB0142] ; Strategic Priority Research Program of CAS [XDA20050202] ; High-End Foreign Experts Program of Yunnan Province [Y9YN021B01] ; CAS 135 program [2017XTBG-T03] ; [NSFC31772432]
源URL[http://ir.ibcas.ac.cn/handle/2S10CLM1/26328]  
专题植被与环境变化国家重点实验室
作者单位1.Chinese Acad Sci, Inst Zool, Key Lab Zool Systemat, Beijing, Peoples R China
2.Zhejiang Univ, Coll Control Sci & Engn, State Key Lab Ind Control Technol, Hangzhou, Peoples R China
3.[Hughes, Alice C.] Chinese Acad Sci, Ctr Integrat Conservat, Xishuangbanna Trop Bot Garden, Menglun, Peoples R China
4.Costello, Mark J.] Univ Auckland, Sch Environm, Auckland, New Zealand
5.GBIF, Global Biodivers Informat Facil, Copenhagen, Denmark
6.Intergovt Oceanog Commiss IOC UNESCO, OBIS, Paris, France
7.Chinese Acad Sci, Inst Bot, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Hughes, Alice C.,Orr, Michael C.,Ma, Keping,et al. Sampling biases shape our view of the natural world[J]. ECOGRAPHY,2021,44(9):1259-1269.
APA Hughes, Alice C..,Orr, Michael C..,Ma, Keping.,Costello, Mark J..,Waller, John.,...&Qiao, Huijie.(2021).Sampling biases shape our view of the natural world.ECOGRAPHY,44(9),1259-1269.
MLA Hughes, Alice C.,et al."Sampling biases shape our view of the natural world".ECOGRAPHY 44.9(2021):1259-1269.

入库方式: OAI收割

来源:植物研究所

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