有蹄类动物系统的最优模型

有蹄类动物系统的最优模型

  89

Contributor(s)

Initial contribute: 2018-12-04

Authorship

Affiliation:  
岳天祥编著
Email:  
yue@lreis.ac.cn
Homepage:  
View
Is authorship not correct? Feed back

Classification(s)

Application-focused categoriesNatural-perspectiveLand regions

Model Description

Chinese {{currentDetailLanguage}} Chinese

有蹄类动物系统的最优模型

(1) 捕食动力学:

每年兽仔C出生的数量:

式中,M是总的驼鹿数量;每种动物的加权平均出生率。

(2) 狼群动力学:

对于任何被捕食者密度的均衡领地的大小利用下面的关系式来估算:

式中,T是每个狼群的均衡领地大小; 是最大的领地大小;B是有蹄类动物被捕食者的生物量。

模型使用一个修正了的多物种方程估算狼群对被捕食者密度短期的函数响应:

式中,是每月被杀死的被捕食者种类i的数量; 是被捕食者种类i的密度; 是种类j中被杀死的每个被捕食者的处理时间;A是狼群搜索效率参数;F是搜索覆盖到的全部的狼群领地。

(3) 最优化程序:

管理的目标是将经过任意段规划周期T后的每年收益期望值最大化:

式中,是从tT的总收益; 是每年的收益。

(4) 每年的收益为:

式中,是驼鹿的收获量; 是每年狼群控制计划所除掉的狼群总数; 是每平方英里相对于驼鹿收获量的每个狼群玻除掉时狼群控制计划的相对成本。

 

参考文献

Stocher M:狼――有蹄类动物系统的最优模型。Ecological Modelling,1981,12

How to Cite

《资源环境数学模型手册》 (2018). 有蹄类动物系统的最优模型, Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/b4dd8005-10fc-4458-87d5-6b47fbc396a5
Copy

History

Last modifier : 
XiaoYu He
Last modify time : 
2020-12-28
Modify times : 
View History

QR Code

Contributor

Initial contribute: 2018-12-04

Co-contributor(s)

Authorship

Affiliation:  
岳天祥编著
Email:  
yue@lreis.ac.cn
Homepage:  
View
Is authorship not correct? Feedback

History

Last modifier : 
XiaoYu He
Last modify time : 
2020-12-28
Modify times : 
View History

QR Code

×

{{curRelation.overview}}
{{curRelation.author.join('; ')}}
{{curRelation.journal}}









Related Items

You can link resource from repository to this model item, or you can create a new {{typeName.toLowerCase()}}.

Drop the file here, orclick to upload.
Select From My Space
+ add

These authorship information will be submitted to the contributor to review.

Cancel Submit
Cancel Submit
Localizations + Add
{{ item.label }} {{ item.value }}
Model Name :
Cancel Submit Cancel Submit
Name:
Version:
Model Type:
Model Domain:
Scale:
Purpose:
Principles:
Incorporated models:

Model part of

larger framework

Process:
Information:
Initialization:
Hardware Requirements:
Software Requirements:
Inputs:
Outputs:
Cancel Submit
Title Author Date Journal Volume(Issue) Pages Links Doi Operation
Cancel Submit
Add Cancel

{{articleUploading.title}}

Authors:  {{articleUploading.authors[0]}}, {{articleUploading.authors[1]}}, {{articleUploading.authors[2]}}, et al.

Journal:   {{articleUploading.journal}}

Date:   {{articleUploading.date}}

Page range:   {{articleUploading.pageRange}}

Link:   {{articleUploading.link}}

DOI:   {{articleUploading.doi}}

Yes, this is it Cancel

The article {{articleUploading.title}} has been uploaded yet.

OK
Cancel Confirm