Spatial knowledge deficiencies drive taxonomic and geographic selectivity in data deficiency

doi:10.1016/j.biocon.2018.12.009

	Spatial knowledge deficiencies drive taxonomic and geographic selectivity in data deficiency
	Zhao, Lina 1; Yang, Yuchang 1; Liu, Huiyuan 2; Shan, Zhangjian 1; Xie, Dan 1; Xu, Zheping 3; Li, Jinya 4
	2019
发表期刊	BIOLOGICAL CONSERVATION
ISSN	0006-3207
卷号	231 页码:174-180
摘要	The uncertain threat status of species inevitably influences their focus on conservation. Just as in extinction risk, the non-randomness phenomenon related to uncertainty (also referred to as selectivity), which is a certain character cluster in some groupings, also exists in data deficiency of species' knowledge. In order to illustrate this kind of non-random phenomenon and explain the uncertainties it caused, we performed a hypergeometric test on taxonomic and geographic groupings of China's spermatophyte species and quantified two factors frequency of collections and spatial accessibility to indicate the primary causes of spatial knowledge deficiencies. We found that selectivity in data deficiency exists both taxonomically and geographically. Fifteen of the families were more deficient than expected, which included 30.0% of species and 56.3% ranked data deficient (DD). Among these, eight families were statistically highly significant with p < 0.001 and included 25.2% of species and 50.0% ranked DD. Forty-six families were less deficient than expected. With respect to floristic division, four of 29 floristic regions and subregions were more deficient than expected, and seven were less deficient than expected. Spatial autocorrelation analysis on DD species suggested an aggregated pattern of data deficiency in China (Moran's I = 0.58, z-score = 27.0, p < 0.001), and these areas that contained the highest numbers of DD species also contained the highest number of species (Spearman's R-2 = 0.879, p < 0.001). However, the largest DD ratio had a low correlation with the richest DD spatial diversity. Moreover, we found the larger the DD ratio was, the lower the frequency of collections and the poorer the spatial accessibility would be. In the research, we showed that the uncertainties associated with DD species would alter the non-randomness in the selectivity of data deficiency and further affect the focus of conservation. Only with a full understanding of the process and mechanisms of data deficiency can we determine where and what kind of actions are necessary to improve the knowledge of plant diversity.
关键词	Data deficient Non-randomness Selectivity Spatial patterns Vulnerability
学科领域	Biodiversity Conservation ; Ecology ; Environmental Sciences
DOI	10.1016/j.biocon.2018.12.009
收录类别	SCI
语种	英语
WOS关键词	IUCN RED LIST ; CONSERVATION STATUS ; EXTINCTION RISK ; AMPHIBIANS ; AREAS ; HOTSPOTS ; INDEX
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
WOS记录号	WOS:000459357500020
出版者	ELSEVIER SCI LTD
文献子类	Article
出版地	OXFORD
EISSN	1873-2917
资助机构	National Key R&D Program of China [2016YFC0500406, 2017YFC0505804] ; National Natural Science Foundation of China (NSFC)National Natural Science Foundation of China (NSFC) [41601439] ; Plant Specimen Sub-Platform, National Specimen Information Infrastructure [2005DKA21401]
作者邮箱	jyli@rcees.ac.cn
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ibcas.ac.cn/handle/2S10CLM1/19529
专题	系统与进化植物学国家重点实验室
作者单位	1.Chinese Acad Sci, Inst Bot, State Key Lab Systemat & Evolutionary Bot, 20 Nanxincun, Beijing 100093, Peoples R China 2.Univ Chinese Acad Sci, Coll Life Sci, 19 Yuquan Rd, Beijing 100049, Peoples R China 3.Beijing Normal Univ, Sch Life Sci, 19 Xinjiekouwai St, Beijing 100875, Peoples R China 4.Chinese Acad Sci, Natl Sci Lib, 33 Beisihuan Xilu, Beijing 100190, Peoples R China 5.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, 18 Shuangqing Rd, Beijing 100085, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Lina,Yang, Yuchang,Liu, Huiyuan,et al. Spatial knowledge deficiencies drive taxonomic and geographic selectivity in data deficiency[J]. BIOLOGICAL CONSERVATION,2019,231:174-180.
APA	Zhao, Lina.,Yang, Yuchang.,Liu, Huiyuan.,Shan, Zhangjian.,Xie, Dan.,...&Li, Jinya.(2019).Spatial knowledge deficiencies drive taxonomic and geographic selectivity in data deficiency.BIOLOGICAL CONSERVATION,231,174-180.
MLA	Zhao, Lina,et al."Spatial knowledge deficiencies drive taxonomic and geographic selectivity in data deficiency".BIOLOGICAL CONSERVATION 231(2019):174-180.

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