Data and code to reproduce "Weak but consistent abundance-occupancy relationships across taxa, space, and time"

Name: Data and code to reproduce "Weak but consistent abundance-occupancy relationships across taxa, space, and time"
Creator: figshare
Published: 2025-06-01 05:58:35
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DataCite Commons2025-06-01 更新2024-07-29 收录

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This repository contains the code and data to reproduce the analyses from: >Ten Caten, C., Holian, L., Dallas, T. "Weak but consistent abundance-occupancy relationships across taxa, space, and time". Global Ecology and Biogeography. Citation for each NEON dataset used in our study: >NEON (National Ecological Observatory Network). Aquatic zooplankton collection, 2014-2019. https://doi.org/10.48443/qzr1-jr79. Dataset accessed from https://data.neonscience.org. >NEON (National Ecological Observatory Network). Ticks sampled using drag cloths, 2014-2019. https://doi.org/10.48443/dx40-wr20. Dataset accessed from https://data.neonscience.org. >NEON (National Ecological Observatory Network). Small mammal box trapping, 2014-2019. https://doi.org/10.48443/j1g9-2j27. Dataset accessed from https://data.neonscience.org. >NEON (National Ecological Observatory Network). Aquatic macroinvertebrate collection, 2014-2019. https://doi.org/10.48443/855x-0n27. Dataset accessed from https://data.neonscience.org. >NEON (National Ecological Observatory Network). Fish electrofishing, gill netting, and fyke netting counts, 2014-2019. https://doi.org/10.48443/17cz-g567. Dataset accessed from https://data.neonscience.org. >NEON (National Ecological Observatory Network). Breeding landbird point counts, 2014-2019. https://doi.org/10.48443/s730-dy13. Dataset accessed from https://data.neonscience.org. >NEON (National Ecological Observatory Network). Ground beetles sampled from pitfall traps, 2014-2019. https://doi.org/10.48443/tx5f-dy17. Dataset accessed from https://data.neonscience.org.

本仓库包含用于复现下述研究分析的代码与数据： >Ten Caten, C., Holian, L., Dallas, T. "跨类群、空间与时间的微弱且一致的多度-占有度关系". 全球生态学与生物地理学（Global Ecology and Biogeography）. 本研究使用的全部NEON数据集的引用信息如下： >NEON（National Ecological Observatory Network，国家生态观测网）. 水生浮游动物采集数据集，2014-2019年. https://doi.org/10.48443/qzr1-jr79. 数据集获取自https://data.neonscience.org. >NEON（National Ecological Observatory Network，国家生态观测网）. 拖布采样法采集蜱虫数据集，2014-2019年. https://doi.org/10.48443/dx40-wr20. 数据集获取自https://data.neonscience.org. >NEON（National Ecological Observatory Network，国家生态观测网）. 小型兽类笼捕数据集，2014-2019年. https://doi.org/10.48443/j1g9-2j27. 数据集获取自https://data.neonscience.org. >NEON（National Ecological Observatory Network，国家生态观测网）. 水生大型无脊椎动物采集数据集，2014-2019年. https://doi.org/10.48443/855x-0n27. 数据集获取自https://data.neonscience.org. >NEON（National Ecological Observatory Network，国家生态观测网）. 鱼类电捕、刺网与曳网计数数据集，2014-2019年. https://doi.org/10.48443/17cz-g567. 数据集获取自https://data.neonscience.org. >NEON（National Ecological Observatory Network，国家生态观测网）. 繁殖陆生鸟类样点计数数据集，2014-2019年. https://doi.org/10.48443/s730-dy13. 数据集获取自https://data.neonscience.org. >NEON（National Ecological Observatory Network，国家生态观测网）. 陷阱法采集步甲科昆虫数据集，2014-2019年. https://doi.org/10.48443/tx5f-dy17. 数据集获取自https://data.neonscience.org.

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figshare

创建时间：

2022-04-19