globalchange  > 气候变化事实与影响
CSCD记录号: CSCD:6492262
论文题名:
动物种群动态模型研究的进展与展望
其他题名: Animals population dynamic models:a review and outlook
作者: 席唱白1; 迟瑶1; 钱天陆1; 盛彩英1; 王结臣2
刊名: 生态科学
ISSN: 1008-8873
出版年: 2019
卷: 38, 期:2, 页码:898-908
语种: 中文
中文关键词: 地理信息系统 ; 种群动态 ; 空间模型 ; 物种分布模型 ; 动物保护
英文关键词: Geographic Information System ; population dynamic ; spatial model ; Species Distribution Model ; animal protection
WOS学科分类: ECOLOGY
WOS研究方向: Environmental Sciences & Ecology
中文摘要: 动物种群动态模型经历了百余年的发展,文章回顾和总结了其取得的丰富成果,并展望其未来发展方向。种群动态包括种群数量动态和时空分布动态,根据其形式和研究内容,可以将种群动态模型分为数量模型和空间模型。数学模型通过数学方程模拟种群数量的变化趋势,它包括J型增长模型、S型增长模型和Lotka-Voltera模型等;空间模型侧重于种群和生境的空间化表达,包括异质种群模型、空间精确性种群模型和基于个体的种群模型等。种群动态模型在物种保护、气候变化和土地管理等方面都有成功应用。目前,种群动态模型的空间描述能力不足,未来与地理信息技术结合将有助于种群动态模型的进-步发展。
英文摘要: Being developed through over one hundred years,there has been much progress in the field of the population dynamic model.In this paper,a review of its achievements was given as well as a looking forward to its future developments.Population dynamic includes quantitative dynamic and spatial-temporal distribution dynamic.According to the form and research content,the population dynamic models can be divided into mathematic models and spatial models.The mathematic models simulate the population fluctuations by mathematical equations,such as J growth model,S growth model and Lotka-Voltera model,etc.Spatial models focus on spatial pattern of population and habitat,such as Metapopulation Model,Spatially Explicit Population Model and Individual-Based Models.Population dynamic models have been successfully applied in species protection,climate change and land management.Presently population dynamic models are short in spatial information expression,and it is considered that combining with geographic information technology is the trend of population dynamic model.
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/156013
Appears in Collections:气候变化事实与影响

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作者单位: 1.南京大学地理与海洋科学学院
2.江苏省地理信息技术重点实验室,
3.江苏省地理信息技术重点实验室, 南京
4.南京,
5.210023
6.210023
7.南京大学地理与海洋科学学院
8.江苏省地理信息技术重点实验室
9.江苏省地理信息资源开发与利用协同创新中心,
10.江苏省地理信息技术重点实验室
11.江苏省地理信息资源开发与利用协同创新中心, 南京
12.南京
13.南京,
14.210023
15.210023
16.210023

Recommended Citation:
席唱白,迟瑶,钱天陆,等. 动物种群动态模型研究的进展与展望[J]. 生态科学,2019-01-01,38(2):898-908
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