Integrating biotic interactions in niche analyses unravels the patterns underneath community composition in clownfishes

Biotic interactions shape the ecology of species and communities, yet their integration into ecological niche modeling methods remains challenging. Despite being a central topic of research for the past decade, the impact of biotic interactions on species distributions and community composition is often overlooked. Mutualistic systems offer ideal case studies for examining the effects of biotic interactions on species niches and community dynamics. This study presents a novel approach to incorporating mutualistic interactions into niche modeling, using the clownfish-sea anemone system. By adapting existing niche quantification frameworks, we developed a method to estimate the partial effects of known interactions and refine ecological niche estimates. This approach allows for a more comprehensive understanding of how mutualistic relationships influence species distributions and community assembly patterns. We also used mutualistic information to investigate the resource-use overlap, ide..., Occurrences, environmental variables and all input data for the analyses have been collected from online databases and open-source datasets., All analyses are done in R. Developed functions are provided in form of a package called NINA., # Reference Information ## Provenance for this README * File name: README_Dataset_IBINAOC.txt * Authors: Alberto Garcia Jimenez * Other contributors: Olivier Broennimann, Antoine Guisan, Théo Gaboriau and Nicolas Salamin * Date created: 2023-02-20 * Date modified: 2023-03-30 ## Dataset Version and Release History * Current Version: * Number: 1.0.0 * Date: 2023-03-30 * Persistent identifier: DOI: 10.5061/dryad.2bvq83bv8 * Summary of changes: n/a * Embargo Provenance: n/a * Scope of embargo: n/a * Embargo period: n/a ## Dataset Attribution and Usage * Dataset Title: Data for the article \"Integrating biotic interactions in niche analyses unravels the patterns underneath community composition in clownfishes\" * Persistent Identifier: [https://doi.org/10.5061/dryad.2bvq83bv8](https://doi.org/10.5061/dryad.2bvq83bv8) * Dataset Contributors: * Creators: Alberto Garcia Jimenez, Olivier Broennimann, Antoine Guisan, Théo Gaboriau and Nicolas Salamin * Date of Issue: 2023-03-...生物相互作用（biotic interactions）塑造物种种群与群落的生态学特征，但将其整合至生态位模型（ecological niche modeling）方法中仍存在挑战。尽管近十年来该主题已是研究热点，但生物相互作用对物种分布与群落组成的影响常被忽视。互利共生系统为探究生物相互作用对物种生态位及群落动态的影响提供了理想的案例研究体系。本研究以小丑鱼-海葵系统为研究对象，提出了一种将互利共生相互作用整合至生态位模型的全新方法。通过对现有生态位量化框架进行改良，本研究开发了一种可估算已知相互作用的局部效应并优化生态位估算结果的方法。该方法可帮助我们更全面地理解互利共生关系如何影响物种分布与群落组装模式。本研究还利用互利共生信息探究了资源利用重叠度，ide... 分析所需的物种出现记录、环境变量及所有输入数据均采集自在线数据库与开源数据集。所有分析均基于R语言完成，开发的函数以名为NINA的R包形式提供。 # 参考信息 ## 本README文件来源 * 文件名：README_Dataset_IBINAOC.txt * 作者：阿尔贝托·加西亚·希门尼斯（Alberto Garcia Jimenez） * 其他贡献者：奥利维耶·布罗尼曼（Olivier Broennimann）、安托万·吉桑（Antoine Guisan）、蒂奥·加博里奥（Théo Gaboriau）以及尼古拉·萨兰明（Nicolas Salamin） * 创建日期：2023-02-20 * 修改日期：2023-03-30 ## 数据集版本与发布历史 * 当前版本： * 版本号：1.0.0 * 发布日期：2023-03-30 * 永久标识符：DOI: 10.5061/dryad.2bvq83bv8 * 变更摘要：无 * 保密来源说明：无 * 保密范围：无 * 保密期限：无 ## 数据集署名与使用规范 * 数据集标题：论文"Integrating biotic interactions in niche analyses unravels the patterns underneath community composition in clownfishes"相关数据 * 永久标识符：[https://doi.org/10.5061/dryad.2bvq83bv8](https://doi.org/10.5061/dryad.2bvq83bv8) * 数据集贡献者： * 创作者：阿尔贝托·加西亚·希门尼斯（Alberto Garcia Jimenez）、奥利维耶·布罗尼曼（Olivier Broennimann）、安托万·吉桑（Antoine Guisan）、蒂奥·加博里奥（Théo Gaboriau）以及尼古拉·萨兰明（Nicolas Salamin） * 发布日期：2023-03-...