Adrian P. Martin , Angela Bahamondes Dominguez , Chelsey A. Baker , Chloé M.J. Baumas , Kelsey M. Bisson , Emma Cavan , Mara Freilich , Eric Galbraith , Martí Galí , Stephanie Henson , Karin F. Kvale , Carsten Lemmen , Jessica Y. Luo , Helena McMonagle , Francisco de Melo Viríssimo , Klas Ove Möller , Camille Richon , Iyyappan Suresh , Jamie D. Wilson , Matthew S. Woodstock , Andrew Yool
{"title":"何时在模型中添加新过程--何时不添加:海洋生物地球化学视角","authors":"Adrian P. Martin , Angela Bahamondes Dominguez , Chelsey A. Baker , Chloé M.J. Baumas , Kelsey M. Bisson , Emma Cavan , Mara Freilich , Eric Galbraith , Martí Galí , Stephanie Henson , Karin F. Kvale , Carsten Lemmen , Jessica Y. Luo , Helena McMonagle , Francisco de Melo Viríssimo , Klas Ove Möller , Camille Richon , Iyyappan Suresh , Jamie D. Wilson , Matthew S. Woodstock , Andrew Yool","doi":"10.1016/j.ecolmodel.2024.110870","DOIUrl":null,"url":null,"abstract":"<div><div>Models are critical tools for environmental science. They allow us to examine the limits of what we think we know and to project that knowledge into situations for which we have little or no data. They are by definition simplifications of reality. There are therefore inevitably times when it is necessary to consider adding a new process to a model that was previously omitted. Doing so may have consequences. It can increase model complexity, affect the time a model takes to run, impact the match between the model output and observations, and complicate comparison to previous studies using the model. How a decision is made on whether to add a process is no more objective than how a scientist might design a laboratory experiment. To illustrate this, we report on an event where a broad and diverse group of marine biogeochemists were invited to construct flowcharts to support making the decision of when to include a new process in a model. The flowcharts are used to illustrate both the complexity of factors that modellers must consider prior to making a decision on model development and the diversity of perspectives on how that decision should be reached. The purpose of this paper is not to provide a definitive protocol for making that decision. Instead, we argue that it is important to acknowledge that there is no objectively “best” approach and instead we discuss the flowcharts created as a means of encouraging modellers to think through why and how they are doing something. This may also hopefully guide observational scientists to understand why it may not always be appropriate to include a process they are studying in a model.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"498 ","pages":"Article 110870"},"PeriodicalIF":2.6000,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0304380024002588/pdfft?md5=932127c4c922051275f658d6cd17555a&pid=1-s2.0-S0304380024002588-main.pdf","citationCount":"0","resultStr":"{\"title\":\"When to add a new process to a model – and when not: A marine biogeochemical perspective\",\"authors\":\"Adrian P. Martin , Angela Bahamondes Dominguez , Chelsey A. Baker , Chloé M.J. Baumas , Kelsey M. Bisson , Emma Cavan , Mara Freilich , Eric Galbraith , Martí Galí , Stephanie Henson , Karin F. Kvale , Carsten Lemmen , Jessica Y. Luo , Helena McMonagle , Francisco de Melo Viríssimo , Klas Ove Möller , Camille Richon , Iyyappan Suresh , Jamie D. Wilson , Matthew S. Woodstock , Andrew Yool\",\"doi\":\"10.1016/j.ecolmodel.2024.110870\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Models are critical tools for environmental science. They allow us to examine the limits of what we think we know and to project that knowledge into situations for which we have little or no data. They are by definition simplifications of reality. There are therefore inevitably times when it is necessary to consider adding a new process to a model that was previously omitted. Doing so may have consequences. It can increase model complexity, affect the time a model takes to run, impact the match between the model output and observations, and complicate comparison to previous studies using the model. How a decision is made on whether to add a process is no more objective than how a scientist might design a laboratory experiment. To illustrate this, we report on an event where a broad and diverse group of marine biogeochemists were invited to construct flowcharts to support making the decision of when to include a new process in a model. The flowcharts are used to illustrate both the complexity of factors that modellers must consider prior to making a decision on model development and the diversity of perspectives on how that decision should be reached. The purpose of this paper is not to provide a definitive protocol for making that decision. Instead, we argue that it is important to acknowledge that there is no objectively “best” approach and instead we discuss the flowcharts created as a means of encouraging modellers to think through why and how they are doing something. This may also hopefully guide observational scientists to understand why it may not always be appropriate to include a process they are studying in a model.</div></div>\",\"PeriodicalId\":51043,\"journal\":{\"name\":\"Ecological Modelling\",\"volume\":\"498 \",\"pages\":\"Article 110870\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0304380024002588/pdfft?md5=932127c4c922051275f658d6cd17555a&pid=1-s2.0-S0304380024002588-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Modelling\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0304380024002588\",\"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/S0304380024002588","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 to add a new process to a model – and when not: A marine biogeochemical perspective
Models are critical tools for environmental science. They allow us to examine the limits of what we think we know and to project that knowledge into situations for which we have little or no data. They are by definition simplifications of reality. There are therefore inevitably times when it is necessary to consider adding a new process to a model that was previously omitted. Doing so may have consequences. It can increase model complexity, affect the time a model takes to run, impact the match between the model output and observations, and complicate comparison to previous studies using the model. How a decision is made on whether to add a process is no more objective than how a scientist might design a laboratory experiment. To illustrate this, we report on an event where a broad and diverse group of marine biogeochemists were invited to construct flowcharts to support making the decision of when to include a new process in a model. The flowcharts are used to illustrate both the complexity of factors that modellers must consider prior to making a decision on model development and the diversity of perspectives on how that decision should be reached. The purpose of this paper is not to provide a definitive protocol for making that decision. Instead, we argue that it is important to acknowledge that there is no objectively “best” approach and instead we discuss the flowcharts created as a means of encouraging modellers to think through why and how they are doing something. This may also hopefully guide observational scientists to understand why it may not always be appropriate to include a process they are studying in a model.
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/).