Spatial knowledge deficiencies drive taxonomic and geographic selectivity in data deficiency

CORC > 生态环境研究中心 > 中国科学院生态环境研究中心 > 城市与区域生态国家重点实验室

	Spatial knowledge deficiencies drive taxonomic and geographic selectivity in data deficiency
	Zhao, Lina ; Yang, Yuchang ; Liu, Huiyuan ; Shan, Zhangjian ; Xie, Dan ; Xu, Zheping ; Li, Jinya
刊名	BIOLOGICAL CONSERVATION
	2019-03
卷号	231 页码:174-180
关键词	Data deficient Non-randomness Selectivity Spatial patterns Vulnerability
ISSN号	0006-3207
英文摘要	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.
内容类型	期刊论文
源URL	[http://ir.rcees.ac.cn/handle/311016/42802]
专题	生态环境研究中心_城市与区域生态国家重点实验室
作者单位	1.Chinese Acad Sci, Natl Sci Lib, 33 Beisihuan Xilu, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Inst Bot, State Key Lab Systemat & Evolutionary Bot, 20 Nanxincun, Beijing 100093, Peoples R China 3.Univ Chinese Acad Sci, Coll Life Sci, 19 Yuquan Rd, Beijing 100049, Peoples R China 4.Beijing Normal Univ, Sch Life Sci, 19 Xinjiekouwai St, Beijing 100875, 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.