Nematode spatial distribution and the frequency of zeros in samples

Author:

Taylor Robin A.J.12,Park Sun-Jeong3,Grewal Parwinder S.24

Affiliation:

1. Blackland Research Center, Texas A&M University, Temple, TX 76502, USA

2. Department of Entomology, The Ohio State University, OARDC, Wooster, OH 44691, USA

3. Center for Applied Plant Science, The Ohio State University, OARDC, Wooster, OH 44691, USA

4. Department of Biology, College of Sciences, The University of Texas Rio Grande Valley, Edinburg, TX 78539, USA

Abstract

In the first longitudinal study of nematode spatial distribution with sufficiently large samples to estimate Taylor’s power law (TPL), we concluded that TPL is sensitive to life history strategy. We also observed that the value of TPL slope b was generally higher for more widespread and abundant taxa. We deduce that removal of empty samples increases b and discuss the results in relation to known causes of bias in estimating TPL. Only one cause might explain an increase in b with removal of empty quadrats: the underestimation of variance. Although bias cannot be ruled out in rare taxa, the consistency of the pattern with very abundant genera suggests a different explanation. TPL appears sensitive to the number of samples in a survey that do not contain the taxon of interest. We conclude that TPL measures the space between individuals as well as the density-dependence of the numerical distribution of abundance.

Publisher

Brill

Subject

Agronomy and Crop Science,Ecology, Evolution, Behavior and Systematics

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Forest insects and the binary power law;Agricultural and Forest Entomology;2021-07-20

2. A new local stochastic method for predicting data with spatial heterogeneity;Acta Scientiarum. Agronomy;2020-11-05

3. Plants;Taylor's Power Law;2019

4. Epilogue;Taylor's Power Law;2019

5. Properties of TPL;Taylor's Power Law;2019

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3