Data for: Wild bees and landcover: bee species’ body size does not predict the scale of effect, but bee phenology predicts association with landcover type

Habitat is a key aspect of any species’ niche and can affect populations at multiple spatial scales. Basic ecology and effective conservation thus require understanding which habitats matter and at which scales. Yet, habitat studies are rarely scale-optimized and what determines the scale(s) at which populations are affected by surrounding habitat (the “scale of effect”) is poorly understood. In this study, we test the “mobility hypothesis,” which predicts that species with larger foraging ranges should have larger scales of effect. The mobility hypothesis is the most popular explanation of what determines species’ scales of effect but empirical support is mixed. We test the mobility hypothesis using wild bee species and, in doing so, also assess landscape-scale habitat associations of 84 bee species. We collected 30,376 specimens of 84 bee species from 165 sites in the northeastern USA and used linear models to determine landcover associations and scales of effect for each species. To ..., This analysis in this paper used a dataset amalgamated from five previous studies, each of which collected bees by pan or vane trap. Following is a brief summary of each of these studies. Data from three of these studies were previously published, and the publications are noted below and in the \"Related Works\" section, while data from the other two is being published here for the first time. Any future analyses using these data should cite the original articles.
Dataset 1: Pinelands (Winfree et al. 2007)
This study was designed to ask about the effects of human land use on bee communities. The study region was the Pine Barrens of southern New Jersey. There were 44 sites placed along a human land use gradient. In this region, the natural land cover is predominantly forested ericaceous heath, and human land cover is predominantly agriculture (blueberry, cranberry) and suburbs.
The 44 sites were visited 2-5 times each in 2003, for a total of 167 site visits. At each site visit, 44 pan trap..., , # Data for: Habitat associations of wild bees: on the importance of phenology and the idiosyncrasy of scale

[https://doi.org/10.5061/dryad.ngf1vhj55](https://doi.org/10.5061/dryad.ngf1vhj55)

## Description of the data and file structure

Data and analysis for *Habitat associations of wild bees: on the importance of phenology and the idiosyncrasy of scale* by Dylan T Simpson, Colleen Smith, and Rachael Winfree.

The data needed to run the analysis are in Data_and_Code.zip: ~/Data/In, and the scripts are in ~/Code/. The file directories used in the scripts assume your working folder is this parent folder (i.e., the location of this readme).

For convenience, we have also included the intermediate products and outputs so one can start anywhere without having to run all the analyses (which are rather time and memory-intensive).

Details on the datasets are included in the supplement, but in short:

* Datasets are bee abundance data from surveys conducted by pan traps and, in some cases, v...,

栖息地是任一物种种群生态位（niche）的核心属性，可在多空间尺度上对种群动态产生影响。因此，基础生态学研究与高效物种保护工作均需明确哪些栖息地具备关键调控作用，以及其发挥作用的空间尺度。然而，现有栖息地相关研究极少开展尺度优化工作，且学界对「何种因素决定种群受周边栖息地影响的尺度（即「效应尺度（scale of effect）」）」这一问题的认知仍较为匮乏。
本研究针对「移动性假说（mobility hypothesis）」展开实证检验，该假说预测：觅食范围更广的物种种群，其效应尺度也更大。移动性假说为解释物种效应尺度的决定因素的主流理论，但其实证支持结果并不统一。我们以野生蜂类为研究对象验证该假说，同时评估了84种蜂类的景观尺度栖息地关联特征。本研究从美国东北部165个采样点中共采集到84种蜂类的30376份标本，并通过线性模型确定了各物种的土地覆盖关联模式与效应尺度。为……，本文的分析数据集整合自五项既往研究，所有研究均通过碗诱捕器（pan trap）或叶片诱捕器（vane trap）采集蜂类样本。以下为各研究的简要概述。其中三项研究的数据已在前期发表，相关文献已在下文及「相关研究」章节中注明，剩余两项研究的数据则首次在此公开出版。未来使用本数据集开展的任何分析，均需引用原始文献。

数据集1：Pinelands（Winfree等，2007）
本研究旨在探究人类土地利用对蜂类群落的影响。研究区域为新泽西州南部的松林荒地（Pine Barrens）。共设置44个采样点，沿人类土地利用梯度分布。该区域的自然土地覆盖以石南灌丛林为主，人类土地利用类型则以农业（蓝莓、蔓越莓种植）与郊区用地为主。44个采样点在2003年共计被走访2至5次，总采样次数达167次。每次采样时，均放置44个碗诱捕器……

# 数据主题：野生蜂类的栖息地关联：物候的重要性与尺度的特异性
DOI: https://doi.org/10.5061/dryad.ngf1vhj55

## 数据与文件结构说明
本研究为Dylan T Simpson、Colleen Smith与Rachael Winfree所著《野生蜂类的栖息地关联：物候的重要性与尺度的特异性》一文的配套数据与分析代码。
用于运行分析的原始数据存放于Data_and_Code.zip的~/Data/In/路径下，分析脚本存放于~/Code/路径下。脚本中使用的文件目录结构以当前父文件夹（即本README文件所在目录）作为工作目录。
为方便使用者复现分析过程，我们同时提供了分析生成的中间产物与最终输出结果，无需运行全部耗时且占用大量内存的完整分析流程即可从任意节点开始操作。
数据集的详细信息已在补充材料中说明，简要概括如下：
* 本数据集包含通过碗诱捕器（部分研究辅以叶片诱捕器）开展的野外调查所获得的蜂类多度数据……