Impacts of demographic and environmental stochasticity on population dynamics with cooperative effects

阿利效应 人口 消光(光学矿物学) 人口增长 生态学 生物扩散 人口规模 生物 人口学 社会学 古生物学
作者
Tao Feng,Hong-Juan Zhou,Zhipeng Qiu,Yun Kang
出处
期刊:Mathematical biosciences [Elsevier BV]
卷期号:353: 108910-108910 被引量:18
标识
DOI:10.1016/j.mbs.2022.108910
摘要

Different types of stochasticity play essential roles in shaping complex population dynamics. This paper presents a novel approach to model demographic and environmental stochasticity in a single-species model with cooperative components that are measured by component Allee effects. Our work provides rigorous mathematical proof on stochastic persistence and extinction, ergodicity (i.e., the existence of a unique stationary distribution) and the existence of a nontrivial periodic solution to study the impacts of demographic and environmental stochasticity on population dynamics. The theoretical and numerical results suggest that stochasticity may affect the population system in a variety of ways, specifically: (i) In the weak Allee effects case (e.g., strong cooperative efforts), the demographic stochasticity from the attack rate contributes to the expansion of the population size, while the demographic stochasticity from the handling rate and the environmental stochasticity have the opposite role, and may even lead to population extinction; (ii) In the strong Allee effects case (cooperative efforts not strong enough), both demographic and environmental stochasticity play a similar role in the survival of population, and are related to the initial population level: if the initial population level is large enough, demographic stochasticity and environmental stochasticity may be detrimental to the survival of population, otherwise if the initial population level is small enough, demographic stochasticity and environmental stochasticity may bring survival opportunities for the population that deterministically would extinct indefinitely; (iii) In the extinction case, demographic and environmental stochasticity cannot change the trend of population extinction, but they can delay or promote population extinction.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
阿雷完成签到 ,获得积分10
1秒前
1秒前
2秒前
康如萍发布了新的文献求助10
2秒前
小脚丫发布了新的文献求助10
2秒前
2秒前
夏日天空完成签到,获得积分10
2秒前
好想吃鱼饼完成签到,获得积分20
3秒前
4秒前
Linden_bd完成签到 ,获得积分10
4秒前
zx598376321完成签到,获得积分0
4秒前
Onep完成签到,获得积分20
5秒前
你好啊完成签到,获得积分10
5秒前
月亮发布了新的文献求助10
5秒前
5秒前
5秒前
细心小鸭子完成签到,获得积分10
5秒前
FashionBoy应助wjw采纳,获得10
6秒前
852应助1234采纳,获得10
6秒前
慕青应助科研通管家采纳,获得10
6秒前
6秒前
天天快乐应助科研通管家采纳,获得10
6秒前
6秒前
Orange应助科研通管家采纳,获得10
6秒前
丘比特应助科研通管家采纳,获得10
6秒前
小马甲应助科研通管家采纳,获得10
6秒前
Nexus应助科研通管家采纳,获得50
7秒前
烟花应助科研通管家采纳,获得10
7秒前
小二郎应助科研通管家采纳,获得10
7秒前
所所应助科研通管家采纳,获得10
7秒前
沨祈发布了新的文献求助10
7秒前
7秒前
彭于晏应助科研通管家采纳,获得10
7秒前
充电宝应助科研通管家采纳,获得10
7秒前
李健应助科研通管家采纳,获得10
7秒前
molihuakai应助科研通管家采纳,获得10
7秒前
大模型应助科研通管家采纳,获得10
7秒前
Avae发布了新的文献求助10
7秒前
8秒前
共享精神应助科研通管家采纳,获得10
8秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Tanning Chemistry: The Science of Leather (2nd Edition) 2000
Development of a Bridge Weigh-In-Motion System: A technology to convert the bridge response to the passage of traffic into data on vehicle configurations, speeds, times of travel and weights 1000
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7259993
求助须知:如何正确求助?哪些是违规求助? 8881864
关于积分的说明 18767938
捐赠科研通 6940068
什么是DOI,文献DOI怎么找? 3201724
关于科研通互助平台的介绍 2375467
邀请新用户注册赠送积分活动 2177522