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Community-level species' correlated distribution can be scale-independent and related to the evenness of abundance

文献类型：期刊论文

作者Chen, Youhua2; Shen, Tsung-Jen5; Condit, Richard3,6; Hubbell, Stephen P.1,4
刊名ECOLOGY
出版日期2018-12
卷号99期号:12页码:2787-2800
ISSN号0012-9658
关键词aggregation correlated distribution model selection negative binomial distribution negative multinomial distribution quadrat sampling scale dependence species abundance distribution statistical ecology unsampled species
DOI10.1002/ecy.2544
产权排序1
文献子类Article
英文摘要The spatial distribution of species is not random; instead, individuals tend to gather, resulting in a non-random pattern. Previous studies used the independent negative binomial distribution (NBD) to model the distributional aggregation of a single species, in which the independence of the distribution of individuals of a species in different quadrats had been assumed. This way of analyzing aggregation will result in the scale-dependent estimation of the aggregation or shape parameter. However, because non-random (and therefore non-independent) distribution of individuals of a species in a finite area can be caused by either correlated or clumped distribution of individuals of a species between neighboring sites, an alternative model would assume that the distribution of individuals of a species over different sampling areas is multinomial. Here, we showed that, by assuming that regional species abundance followed a NBD while using a multinomial distribution to assign individuals of species in different non-overlapped sampling quadrats that are from a partition of the entire region (quantifying positive correlation or synchrony), the estimation of the shape parameter in this probabilistic model, which is the negative multinomial distribution (NMD), was scale-invariant (i.e., the estimated shape parameter is identical across different partitions of the study region). Accordingly, the estimation of the shape parameter was related to regional species distribution alone. This implied that, the shape parameter at the community level, using the NMD model, reflected the evenness of interspecific abundance. As a comparison, if the distribution of individuals of a single species followed independent NBDs as studied previously, the shape parameter would measure the evenness of intraspecific abundance (quantifying single-species' distributional aggregation). Moreover, our study highlighted the necessity for adjusting the model for the effects of unsampled species when studying community-level distributional patterns. Collectively, as long as a target area is partitioned into non-overlapping quadrats (no matter how their sizes vary), the proposed NMD model in this study, along with the independent NBDs model, can be jointly formulated as a framework to reconcile the scale-dependent debate on the shape parameter, unifying the relationship between inter- or intraspecific abundance and distributional patterns.
学科主题Environment ; Ecology
URL标识查看原文
WOS关键词SPATIAL AGGREGATION ; NONPARAMETRIC-ESTIMATION ; BETA-DIVERSITY ; NEUTRAL THEORY ; NUMBER ; PATTERNS ; SYNCHRONY ; INDEX ; RANDOMNESS ; DOMINANCE
WOS研究方向Environmental Sciences & Ecology
语种英语
出版者WILEY
WOS记录号WOS:000451909200015
源URL[http://210.75.237.14/handle/351003/30091]  
专题食品安全与环境治理领域_中国科学院环境与应用微生物重点实验室
生物多样性与生态系统服务领域_中国科学院山地生态恢复与生物资源利用重点实验室
生物多样性与生态系统服务领域_生态系统恢复与生物多样性保育四川省重点实验室
作者单位1.Univ Calif Los Angeles, Dept Ecol & Evolutionary Biol, Los Angeles, CA 90095 USA
2.CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041 China;
3.Field Museum Nat Hist, 1400 S Lake Shore Dr, Chicago, IL 60605 USA;
4.Smithsonian Trop Res Inst, Apartado 0843-03092, Balboa, Panama;
5.Institute of Statistics & Department of Applied Mathematics, National Chung Hsing University,250 Kuo Kuang Road, Taichung 40227 Taiwan;
6.Morton Arboretum, 4100 Illinois Rte 53, Lisle, IL 60532 USA;
推荐引用方式
GB/T 7714		 Chen, Youhua,Shen, Tsung-Jen,Condit, Richard,et al. Community-level species' correlated distribution can be scale-independent and related to the evenness of abundance[J]. ECOLOGY,2018,99(12):2787-2800.
APA Chen, Youhua,Shen, Tsung-Jen,Condit, Richard,&Hubbell, Stephen P..(2018).Community-level species' correlated distribution can be scale-independent and related to the evenness of abundance.ECOLOGY,99(12),2787-2800.
MLA Chen, Youhua,et al."Community-level species' correlated distribution can be scale-independent and related to the evenness of abundance".ECOLOGY 99.12(2018):2787-2800.

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来源：成都生物研究所

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