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

This repository contains the code and data to reproduce the analyses from:<br>&gt;Ten Caten, C., Holian, L., Dallas, T. "Weak but consistent abundance-occupancy relationships across taxa, space, and time". Global Ecology and Biogeography.<br>Citation for each NEON dataset used in our study:<br>&gt;NEON (National Ecological Observatory Network). Aquatic zooplankton collection, 2014-2019. https://doi.org/10.48443/qzr1-jr79. Dataset accessed from https://data.neonscience.org.<br>&gt;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.<br>&gt;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.<br>&gt;NEON (National Ecological Observatory Network). Aquatic macroinvertebrate collection, 2014-2019. https://doi.org/10.48443/855x-0n27. Dataset accessed from https://data.neonscience.org.<br>&gt;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.<br>&gt;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.<br>&gt;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.

本仓库包含可复现以下论文分析的代码与数据：<br>>Ten Caten, C., Holian, L., Dallas, T. "跨类群、空间与时间的微弱但一致的多度-占有关系". 发表于《Global Ecology and Biogeography》（全球生态学与生物地理学）。<br>本研究使用的所有NEON（National Ecological Observatory Network，国家生态观测站网络）数据集引用信息如下：<br>>NEON. 2014-2019年水生浮游动物采集数据集. https://doi.org/10.48443/qzr1-jr79. 数据集获取自 https://data.neonscience.org.<br>>NEON. 2014-2019年拖布法采集蜱类数据集. https://doi.org/10.48443/dx40-wr20. 数据集获取自 https://data.neonscience.org.<br>>NEON. 2014-2019年小型兽类笼捕数据集. https://doi.org/10.48443/j1g9-2j27. 数据集获取自 https://data.neonscience.org.<br>>NEON. 2014-2019年水生大型无脊椎动物采集数据集. https://doi.org/10.48443/855x-0n27. 数据集获取自 https://data.neonscience.org.<br>>NEON. 2014-2019年鱼类电捕、刺网及曳网计数数据集. https://doi.org/10.48443/17cz-g567. 数据集获取自 https://data.neonscience.org.<br>>NEON. 2014-2019年陆地繁殖鸟类样点计数数据集. https://doi.org/10.48443/s730-dy13. 数据集获取自 https://data.neonscience.org.<br>>NEON. 2014-2019年陷阱法采集步甲数据集. https://doi.org/10.48443/tx5f-dy17. 数据集获取自 https://data.neonscience.org.