Spatial knowledge deficiencies drive taxonomic and geographic selectivity in data deficiency
Spatial knowledge deficiencies drive taxonomic and geographic selectivity in data deficiency
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空间知识缺乏导致数据缺乏中的分类和地理选择性
DOI：
10.1016/j.biocon.2018.12.009
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发表时间：
2019-03
影响因子：
5.9
通讯作者：
Li Jinya
中科院分区：
文献类型：
--
作者：
Zhao Lina;Yang Yuchang;Liu Huiyuan;Shan Zhangjian;Xie Dan;Xu Zheping;Li Jinya
物种的不确定的威胁状态不可避免地影响了他们对保护的关注。与灭绝风险一样，物种知识的数据缺失也存在与不确定性（也称选择性）相关的非随机现象，即某些群体中的某种特征簇。为了说明这种非随机现象，并解释它所造成的不确定性，我们进行了超几何测试的分类和地理分组的中国种子植物物种和量化两个因素-频率的collectionsandspace可达性-指出空间知识不足的主要原因。我们发现，在数据不足的选择性存在分类和地理。其中15个科的缺失程度比预期的严重，包括30.0%的种和56.3%的等级数据缺失（DD）。其中8个科具有极显著性差异（p < 0.001），占25.2%，DD级占50.0%。46个家庭的缺陷比预期的要少。在植物区系划分方面，29个区系区和亚区中有4个区系比预期的更缺乏，7个区系比预期的更缺乏。空间自相关分析表明，中国DD物种的分布呈现聚集性分布（Moran'sI= 0.58，z-score = 27.0，p < 0.001），DD物种最多的地区也是DD物种最多的地区（斯皮尔曼R2= 0.879，p < 0.001）。然而，最大的DD比率与最丰富的DD空间多样性相关性较低。此外，我们发现，DD比率越大，收集频率越低，空间可达性越差。在研究中，我们发现与DD物种相关的不确定性会改变数据缺失选择性的非随机性，并进一步影响保护的重点。只有充分理解数据缺失的过程和机制，我们才能确定在哪里以及采取什么样的行动来提高对植物多样性的认识。
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 asselectivity), 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 collectionsandspatial 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 withp< 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'sI= 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 R2= 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.
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影响因子：
6.4
作者：
Wenjing Yang;K. Ma;H. Kreft
通讯作者：
Wenjing Yang;K. Ma;H. Kreft
DOI：
--
发表时间：
2005
期刊：
--
影响因子：
--
作者：
通讯作者：
--
DOI：
10.1098/rstb.2014.0016
发表时间：
2015-02-19
影响因子：
6.3
作者：
Jetz, Walter;Freckleton, Robert P.
通讯作者：
Freckleton, Robert P.
影响因子：
6.3
作者：
Mittermeier, RA;Myers, N;Olivieri, S
通讯作者：
Olivieri, S
影响因子：
2.4
作者：
Wolfgang Küper;J. Sommer;J. Lovett;W. Barthlott
通讯作者：
Wolfgang Küper;J. Sommer;J. Lovett;W. Barthlott