<b>Macroecological rules predict how biomass scales with species richness in nature</b>

Data and code from <b>Pigot et al 2025 </b><b>Macroecological rules predict how biomass scales with species richness in nature.</b>We are grateful to collaborators and staff who have contributed data, including the Rothamsted Insect Survey (RIS), a National Capability, which is funded by the Biotechnology and Biological Sciences Research Council under the Core Capability Grant BBS/E/C/000J0200. The UK Breeding Bird Survey is a partnership jointly funded by the British Trust for Ornithology, Royal Society for the Protection of Birds and Joint Nature Conservation Committee, with fieldwork conducted by volunteers. Data on copepods were sourced from Australia’s Integrated Marine Observing System (IMOS), which is enabled by the National Collaborative Research Infrastructure Strategy (NCRIS). Earthworm data was collated as part of the ‘sWorm’ workshop, funded by sDiv (the Synthesis Centre of the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig (DFG FZT 118)). This study uses data for for diatoms, dinoflagellates and coccolithophores from The Atlantic Meridional Transect, provided by the British Oceanographic Data Centre and funded by the UK Natural Environment Research Council through its National Capability Long-term Single Centre Science Programme, Climate Linked Atlantic Sector Science (grant number NE/R015953/1).本数据集及代码源自<Pigot等（2025）>发表的《宏观生态学规律可预测自然界生物量随物种丰富度的缩放关系》。我们谨向所有贡献数据的合作者与工作人员致以谢意，其中包括英国洛桑昆虫调查（Rothamsted Insect Survey, RIS）——该设施为国家能力平台，其运营经费由英国生物技术与生物科学研究委员会通过核心能力资助项目BBS/E/C/000J0200提供。英国繁殖鸟类调查是由英国鸟类学信托基金会、皇家鸟类保护协会与联合自然保护委员会联合资助的合作项目，野外数据采集工作由志愿者完成。桡足类数据源自澳大利亚综合海洋观测系统（Australia’s Integrated Marine Observing System, IMOS），该系统依托国家协同研究基础设施战略（National Collaborative Research Infrastructure Strategy, NCRIS）建成并运行。蚯蚓数据是作为“sWorm”研讨会的成果整理得到的，该研讨会由sDiv资助——sDiv是德国综合生物多样性研究中心（iDiv）哈雷-耶拿-莱比锡分中心的综合研究中心，资助编号为DFG FZT 118。本研究使用的硅藻、甲藻与颗石藻数据源自大西洋经向断面调查，由英国海洋学数据中心提供，并获得英国自然环境研究委员会通过其国家能力长期单一中心科学项目“气候关联大西洋区域科学”（资助编号NE/R015953/1）的资助。

搜集汇总

背景与挑战

背景概述

该数据集包含2025年研究论文'Macroecological rules predict how biomass scales with species richness in nature'的支持数据和代码，聚焦于宏观生态学规则，探讨生物量与物种丰富度之间的关系。数据集覆盖多个生态群体（如昆虫、鸟类、海洋浮游生物），涉及生物多样性、生态系统功能等关键词，适用于社区生态学分析，采用CC BY 4.0许可证共享。