Proximate determinants of Taylor's law slopes
Proximate determinants of Taylor's law slopes
复制标题
泰勒定律斜率的近似决定因素
DOI：
10.1111/1365-2656.12931
复制
发表时间：
2019
影响因子：
4.8
通讯作者：
Kuparinen, ed., Anna
中科院分区：
文献类型：
--
作者：
Zhao, Lei;Sheppard, Lawrence W.;Reid, Philip C.;Walter, Jonathan A.;Reuman, Daniel C.;Kuparinen, ed., Anna
泰勒定律(TL)是生态学中普遍观察和应用的一种模式，它通过log(方差)表示种群密度与平均密度之间的关系，t=1log(A)+b*log(均值)。斜率b的数据集之间的差异与生态学中具有核心重要性的多个因素有关，包括竞争相互作用的强度和人口统计比率。但是这些关联并不是透明的，而且这些因素和其他因素对TL斜率变化的相对重要性研究得很少。本研究的目的是通过提供TL坡度的近似决定因素，这些统计量与TL坡度相关，但比坡度本身更简单，并且更容易与生态因子联系起来。本文利用数值模拟和82个数十年的种群数据，提出、检验和应用了TL坡度的两个近似统计决定因素，我们认为这两个因素可以成为理解TL坡度变化的本质和生态原因的关键工具。我们发现，基于种群偏斜度、变异系数和同步性的度量是有效的近似决定因素。我们通过使用它们来帮助解释时间和空间目标语斜率的协变(两种常见的目标语类型)，展示了它们的应用潜力。本研究为理解目标语提供了工具，并展示了它们的有效性。
Taylor's law (TL), a commonly observed and applied pattern in ecology, describes variances of population densities as related to mean densities via log(variance) = log(a) +b*log(mean). Variations among datasets in the slope,b, have been associated with multiple factors of central importance in ecology, including strength of competitive interactions and demographic rates. But these associations are not transparent, and the relative importance of these and other factors for TL slope variation is poorly studied. TL is thus a ubiquitously used indicator in ecology, the understanding of which is still opaque.The goal of this study was to provide tools to help fill this gap in understanding by providingproximate determinants of TL slopes, statistical quantities that are correlated to TL slopes but are simpler than the slope itself and are more readily linked to ecological factors.Using numeric simulations and 82 multi‐decadal population datasets, we here propose, test and apply two proximate statistical determinants of TL slopes which we argue can become key tools for understanding the nature and ecological causes of TL slope variation.We find that measures based on population skewness, coefficient of variation and synchrony are effective proximate determinants. We demonstrate their potential for application by using them to help explain covariation in slopes of spatial and temporal TL (two common types of TL).This study provides tools for understanding TL, and demonstrates their usefulness.
登录
查看更多内容
影响因子：
8.8
作者：
Oliver, Tom;Roy, David B.;Thomas, Chris D.
通讯作者：
Thomas, Chris D.
游牧捕食者和微型动物种群周期中的地理同步性
影响因子：
3.4
作者：
R. Ydenberg
通讯作者：
R. Ydenberg
偏态分布的随机抽样并不一定意味着泰勒定律
DOI：
10.1073/pnas.1507266112
发表时间：
2015
期刊：
Proceedings of the National Academy of Sciences
影响因子：
--
作者：
Youhua Chen
通讯作者：
Youhua Chen
随机种群动态的种间差异解释了泰勒时间幂律的变化
影响因子：
3.4
作者：
M. Linnerud;B. Sæther;V. Grøtan;S. Engen;D. Noble;R. Freckleton
通讯作者：
R. Freckleton
影响因子：
4.8
作者：
Kuo, Ting-Chun;Mandal, Sandip;Hsieh, Chih-hao
通讯作者：
Hsieh, Chih-hao