{"title":"人工智能何时取代生态建模中基于过程的模型?","authors":"","doi":"10.1016/j.ecolmodel.2024.110923","DOIUrl":null,"url":null,"abstract":"<div><div>Sixteen years ago, Sven Jørgensen, a founder of Ecological Modelling, wrote that artificial neural networks could be very useful in most cases but cannot replace biogeochemical models based on conservation principles. The literature study shows no sign that artificial neural networks are replacing any process-based models in ecological modelling, although the recent efforts in developing the methods for solving differential equations by using neural networks enable turning the process-based models into neural networks without loss of their theoretical rigor. It seems that a well-orchestrated research program is needed to promote turning existing process-based models into neural networks aimed at taking advantage of opportunities offered by the big data revolution.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":null,"pages":null},"PeriodicalIF":2.6000,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"When does artificial intelligence replace process-based models in ecological modelling?\",\"authors\":\"\",\"doi\":\"10.1016/j.ecolmodel.2024.110923\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Sixteen years ago, Sven Jørgensen, a founder of Ecological Modelling, wrote that artificial neural networks could be very useful in most cases but cannot replace biogeochemical models based on conservation principles. The literature study shows no sign that artificial neural networks are replacing any process-based models in ecological modelling, although the recent efforts in developing the methods for solving differential equations by using neural networks enable turning the process-based models into neural networks without loss of their theoretical rigor. It seems that a well-orchestrated research program is needed to promote turning existing process-based models into neural networks aimed at taking advantage of opportunities offered by the big data revolution.</div></div>\",\"PeriodicalId\":51043,\"journal\":{\"name\":\"Ecological Modelling\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-11-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Modelling\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0304380024003119\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Modelling","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0304380024003119","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
When does artificial intelligence replace process-based models in ecological modelling?
Sixteen years ago, Sven Jørgensen, a founder of Ecological Modelling, wrote that artificial neural networks could be very useful in most cases but cannot replace biogeochemical models based on conservation principles. The literature study shows no sign that artificial neural networks are replacing any process-based models in ecological modelling, although the recent efforts in developing the methods for solving differential equations by using neural networks enable turning the process-based models into neural networks without loss of their theoretical rigor. It seems that a well-orchestrated research program is needed to promote turning existing process-based models into neural networks aimed at taking advantage of opportunities offered by the big data revolution.
期刊介绍:
The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).