Neutral syndrome

Leroi, Armand M.; Lambert, Ben; Rosindell, James; Zhang, Xiangyu; Kokkoris, Giorgos D.

doi:10.1038/s41562-020-0844-7

Cited by 20 publications

(19 citation statements)

References 171 publications

(223 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This finding indicates that longer-term observations can help us understand the ecological processes driving community dynamics, or at least find deviations from neutral settings (Leroi et al, 2020).…”

Section: Discussionmentioning

confidence: 87%

Non‐zero‐sum neutrality test for the tropical rain forest community using long‐term between‐census data

Takeuchi

Ohtsuki

Innan

2022

Ecology and Evolution

View full text Add to dashboard Cite

For community ecologists, “neutral or not?” is a fundamental question, and thus, rejecting neutrality is an important first step before investigating the deterministic processes underlying community dynamics. Hubbell's neutral model is an important contribution to the exploration of community dynamics, both technically and philosophically. However, the neutrality tests for this model are limited by a lack of statistical power, partly because the zero‐sum assumption of the model is unrealistic. In this study, we developed a neutrality test for local communities that implements non‐zero‐sum community dynamics and determines the number of new species (Nsp) between observations. For the non‐zero‐sum neutrality test, the model distributed the expected Nsp, as calculated by extensive simulations, which allowed us to investigate the neutrality of the observed community by comparing the observed Nsp with distributions of the expected Nsp derived from the simulations. For this comparison, we developed a new “non‐zero‐sum Nsp test,” which we validated by running multiple neutral simulations using different parameter settings. We found that the non‐zero‐sum Nsp test rejected neutrality at a near‐significance level, which justified the validity of our approach. For an empirical test, the non‐zero‐sum Nsp test was applied to real tropical tree communities in Panama and Malaysia. The non‐zero‐sum Nsp test rejected neutrality in both communities when the observation interval was long and Nsp was large. Hence, the non‐zero‐sum Nsp test is an effective way to examine neutrality and has reasonable statistical power to reject the neutral model, especially when the observed Nsp is large. This unique and simple approach is statistically powerful, even though it only employs two temporal sequences of community data. Thus, this test can be easily applied to existing datasets. In addition, application of the test will provide significant benefits for detecting changing biodiversity under climate change and anthropogenic disturbance.

show abstract

Section: Discussionmentioning

confidence: 87%

Non‐zero‐sum neutrality test for the tropical rain forest community using long‐term between‐census data

Takeuchi

Ohtsuki

Innan

2022

Ecology and Evolution

View full text Add to dashboard Cite

show abstract

“…Similarly, the data analysis presented further below is not claimed to prove the correctness of the information theoretical ansatz, indicating, however, that it is a valid contender. From a generalized perspective our ansatz is neutral [17], in the sense that is based not on semantic, but on statistical considerations.…”

Section: Information Theory Of Human Decision-makingmentioning

confidence: 99%

Charting closed-loop collective cultural decisions: from book best sellers and music downloads to Twitter hashtags and Reddit comments

et al. 2021

View full text Add to dashboard Cite

Charts are used to measure relative success for a large variety of cultural items. Traditional music charts have been shown to follow self-organizing principles with regard to the distribution of item lifetimes, the on-chart residence times. Here we examine if this observation holds also for (a) music streaming charts (b) book best-seller lists and (c) for social network activity charts, such as Twitter hashtags and the number of comments Reddit postings receive. We find that charts based on the active production of items, like commenting, are more likely to be influenced by external factors, in particular by the 24 h day–night cycle. External factors are less important for consumption-based charts (sales, downloads), which can be explained by a generic theory of decision-making. In this view, humans aim to optimize the information content of the internal representation of the outside world, which is logarithmically compressed. Further support for information maximization is argued to arise from the comparison of hourly, daily and weekly charts, which allow to gauge the importance of decision times with respect to the chart compilation period.

show abstract

“…Similarly, the data analysis presented further below is not claimed to proof the correctness of the information theoretical ansatz, indicating however that it is a valid contender. From a generalized perspective our ansatz is neutral (Leroi et al, 2020), in the sense that is based not on semantic, but on statistical considerations.…”

Section: Information Theory Of Human Decision-makingmentioning

confidence: 99%

Charting closed-loop collective cultural decisions: From book best sellers and music downloads to Twitter hashtags and Reddit comments

Schneider,

Scholten,

Sandor

et al. 2021

Preprint

View full text Add to dashboard Cite

Charts are used to measure relative success for a large variety of cultural items. Traditional music charts have been shown to follow self-organizing principles with regard to the distribution of item lifetimes, the on-chart residence times. Here we examine if this observation holds also for (a) music streaming charts (b) book best-seller lists and (c) for social network activity charts, such as Twitter hashtags and the number of comments Reddit postings receive. We find that charts based on the active production of items, like commenting, are more likely to be influenced by external factors, in particular by the 24 hour day-night cycle. External factors are less important for consumption-based charts (sales, downloads), which can be explained by a generic theory of decision-making. In this view, humans aim to optimize the information content of the internal representation of the outside world, which is logarithmically compressed. Further support for information maximization is argued to arise from the comparison of hourly, daily and weekly charts, which allow to gauge the importance of decision times with respect to the chart compilation period.

show abstract

Neutral syndrome

Cited by 20 publications

References 171 publications

Non‐zero‐sum neutrality test for the tropical rain forest community using long‐term between‐census data

Non‐zero‐sum neutrality test for the tropical rain forest community using long‐term between‐census data

Charting closed-loop collective cultural decisions: from book best sellers and music downloads to Twitter hashtags and Reddit comments

Charting closed-loop collective cultural decisions: From book best sellers and music downloads to Twitter hashtags and Reddit comments

Contact Info

Product

Resources

About