{"title":"应用Verhulst灰色模型(GM 1,1)预测生物多样性","authors":"Yu-lung Hsieh, K. Linsenmair","doi":"10.30016/JGS.201106.0005","DOIUrl":null,"url":null,"abstract":"In this paper the Verhulst Grey Model is applied to predict spider diversity dynamics in the Wurzburg University Forest, Germany. Here, we use a moving forecasting to predict the following biodiversity values: Margalef Species Richness, Fisher Alpha Index, Simpson Index and Evenness. Among these, the Fisher Alpha Index revealed a decreasing trend in the temporal dynamic across years. Our application of the model for prediction can help lower the cost of studying biodiversity patterns and provide a crucial baseline reference for improving forest management policy.","PeriodicalId":50187,"journal":{"name":"Journal of Grey System","volume":"14 1","pages":"77-81"},"PeriodicalIF":1.0000,"publicationDate":"2011-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Biodiversity Prediction by Applying Verhulst Grey Model (GM 1,1)\",\"authors\":\"Yu-lung Hsieh, K. Linsenmair\",\"doi\":\"10.30016/JGS.201106.0005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper the Verhulst Grey Model is applied to predict spider diversity dynamics in the Wurzburg University Forest, Germany. Here, we use a moving forecasting to predict the following biodiversity values: Margalef Species Richness, Fisher Alpha Index, Simpson Index and Evenness. Among these, the Fisher Alpha Index revealed a decreasing trend in the temporal dynamic across years. Our application of the model for prediction can help lower the cost of studying biodiversity patterns and provide a crucial baseline reference for improving forest management policy.\",\"PeriodicalId\":50187,\"journal\":{\"name\":\"Journal of Grey System\",\"volume\":\"14 1\",\"pages\":\"77-81\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2011-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Grey System\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.30016/JGS.201106.0005\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Grey System","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.30016/JGS.201106.0005","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Biodiversity Prediction by Applying Verhulst Grey Model (GM 1,1)
In this paper the Verhulst Grey Model is applied to predict spider diversity dynamics in the Wurzburg University Forest, Germany. Here, we use a moving forecasting to predict the following biodiversity values: Margalef Species Richness, Fisher Alpha Index, Simpson Index and Evenness. Among these, the Fisher Alpha Index revealed a decreasing trend in the temporal dynamic across years. Our application of the model for prediction can help lower the cost of studying biodiversity patterns and provide a crucial baseline reference for improving forest management policy.
期刊介绍:
The journal is a forum of the highest professional quality for both scientists and practitioners to exchange ideas and publish new discoveries on a vast array of topics and issues in grey system. It aims to bring forth anything from either innovative to known theories or practical applications in grey system. It provides everyone opportunities to present, criticize, and discuss their findings and ideas with others. A number of areas of particular interest (but not limited) are listed as follows:
Grey mathematics-
Generator of Grey Sequences-
Grey Incidence Analysis Models-
Grey Clustering Evaluation Models-
Grey Prediction Models-
Grey Decision Making Models-
Grey Programming Models-
Grey Input and Output Models-
Grey Control-
Grey Game-
Practical Applications.