{"title":"成对相互作用和高阶相互作用如何影响瞬态动力学","authors":"Sourin Chatterjee, Sayantan Nag Chowdhury","doi":"arxiv-2409.09521","DOIUrl":null,"url":null,"abstract":"Understanding how species interactions shape biodiversity is a core challenge\nin ecology. While much focus has been on long-term stability, there is rising\ninterest in transient dynamics-the short-lived periods when ecosystems respond\nto disturbances and adjust toward stability. These transitions are crucial for\npredicting ecosystem reactions and guiding effective conservation. Our study\nintroduces a model that blends pairwise and higher-order interactions, offering\na more realistic view of natural ecosystems. We find pairwise interactions slow\nthe journey to stability, while higher-order interactions speed it up. This\nmodel provides fresh insights into ecosystem resilience and recovery, helping\nimprove strategies for managing species and ecological disruptions.","PeriodicalId":501044,"journal":{"name":"arXiv - QuanBio - Populations and Evolution","volume":"64 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How Combined Pairwise and Higher-Order Interactions Shape Transient Dynamics\",\"authors\":\"Sourin Chatterjee, Sayantan Nag Chowdhury\",\"doi\":\"arxiv-2409.09521\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Understanding how species interactions shape biodiversity is a core challenge\\nin ecology. While much focus has been on long-term stability, there is rising\\ninterest in transient dynamics-the short-lived periods when ecosystems respond\\nto disturbances and adjust toward stability. These transitions are crucial for\\npredicting ecosystem reactions and guiding effective conservation. Our study\\nintroduces a model that blends pairwise and higher-order interactions, offering\\na more realistic view of natural ecosystems. We find pairwise interactions slow\\nthe journey to stability, while higher-order interactions speed it up. This\\nmodel provides fresh insights into ecosystem resilience and recovery, helping\\nimprove strategies for managing species and ecological disruptions.\",\"PeriodicalId\":501044,\"journal\":{\"name\":\"arXiv - QuanBio - Populations and Evolution\",\"volume\":\"64 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - QuanBio - Populations and Evolution\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.09521\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuanBio - Populations and Evolution","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.09521","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
How Combined Pairwise and Higher-Order Interactions Shape Transient Dynamics
Understanding how species interactions shape biodiversity is a core challenge
in ecology. While much focus has been on long-term stability, there is rising
interest in transient dynamics-the short-lived periods when ecosystems respond
to disturbances and adjust toward stability. These transitions are crucial for
predicting ecosystem reactions and guiding effective conservation. Our study
introduces a model that blends pairwise and higher-order interactions, offering
a more realistic view of natural ecosystems. We find pairwise interactions slow
the journey to stability, while higher-order interactions speed it up. This
model provides fresh insights into ecosystem resilience and recovery, helping
improve strategies for managing species and ecological disruptions.