{"title":"Cover Picture and Issue Information","authors":"","doi":"10.1111/2041-210X.14143","DOIUrl":null,"url":null,"abstract":"<p>This month’s cover photo depicts a Lynx, in relation Hanna Kokko’s new paper ‘Who is afraid of modelling time as a continuous variable?’. This paper is an extensive tutorial on modelling ecological and eco-evolutionary processes in continuous time. It aims to guide readers through the basics of both deterministic and stochastic methods – differential equations and the Gillespie algorithm, respectively — where one does not have to discretize time into “time steps”. But if there really are pre-scheduled events such as the start or end of a season, or a pre-scheduled change of state of an individual, these can be woven into continuous-time approaches too. Simultaneously, the paper hopes to offer food for thought on how one should teach some of the classic topics, such as Lotka-Volterra predator-prey cycles.\n <figure>\n <div><picture>\n <source></source></picture><p></p>\n </div>\n </figure></p>","PeriodicalId":208,"journal":{"name":"Methods in Ecology and Evolution","volume":null,"pages":null},"PeriodicalIF":6.3000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/2041-210X.14143","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Methods in Ecology and Evolution","FirstCategoryId":"93","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/2041-210X.14143","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
This month’s cover photo depicts a Lynx, in relation Hanna Kokko’s new paper ‘Who is afraid of modelling time as a continuous variable?’. This paper is an extensive tutorial on modelling ecological and eco-evolutionary processes in continuous time. It aims to guide readers through the basics of both deterministic and stochastic methods – differential equations and the Gillespie algorithm, respectively — where one does not have to discretize time into “time steps”. But if there really are pre-scheduled events such as the start or end of a season, or a pre-scheduled change of state of an individual, these can be woven into continuous-time approaches too. Simultaneously, the paper hopes to offer food for thought on how one should teach some of the classic topics, such as Lotka-Volterra predator-prey cycles.
本月的封面照片描绘的是一只猞猁，与 Hanna Kokko 的新论文《谁害怕将时间作为连续变量建模？这篇论文是关于用连续时间模拟生态和生态进化过程的详尽教程。它旨在引导读者了解确定性方法和随机方法的基础知识--分别是微分方程和吉莱斯皮算法--在这两种方法中，人们不必将时间离散为 "时间步"。但是，如果真的有预先安排好的事件，如季节的开始或结束，或预先安排好的个体状态变化，这些也可以编织到连续时间方法中。同时，本文还希望为如何教授一些经典课题（如洛特卡-沃尔特拉捕食者-猎物循环）提供一些思考。
期刊介绍：
A British Ecological Society journal, Methods in Ecology and Evolution (MEE) promotes the development of new methods in ecology and evolution, and facilitates their dissemination and uptake by the research community. MEE brings together papers from previously disparate sub-disciplines to provide a single forum for tracking methodological developments in all areas.
MEE publishes methodological papers in any area of ecology and evolution, including:
-Phylogenetic analysis
-Statistical methods
-Conservation & management
-Theoretical methods
-Practical methods, including lab and field
-This list is not exhaustive, and we welcome enquiries about possible submissions. Methods are defined in the widest terms and may be analytical, practical or conceptual.
A primary aim of the journal is to maximise the uptake of techniques by the community. We recognise that a major stumbling block in the uptake and application of new methods is the accessibility of methods. For example, users may need computer code, example applications or demonstrations of methods.
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