Host identity, nest quality, and parasitism strategy: influences on body size variation in parasitoid bees and wasps

Body size determines mobility and fitness across taxa in various ways. Yet, drivers of body size in higher trophic invertebrate, especially parasitoids, including intra- and interspecific variations, are poorly understood due to complex interactions between parasitoid behaviour, the environment, and their hosts. We measured the body size of 393 individuals of four parasitoid species (collected from 2220 parasitized brood cells) sampled with trap nests for cavity-nesting bees and wasps in the Southern Black Forest, Germany. We related parasitoid body size to the size of 15 host species and the diameters of their nests along four environmental gradients (proportion of conifers, canopy cover, structural complexity, herb cover, and deadwood diameter). Host identity, nest diameter, and to a lesser extent, size differences within host species, were primary drivers of parasitoid body size, albeit responses varied among parasitoid species. For instance, when the host Black Wood Borer wasp, Tryp..., Study Area
The study was conducted in the Southern part of the Black Forest, Baden-Württemberg, Germany, as part of the Research Training Group 2123 - Conservation of Forest Biodiversity “ConFoBi” (Storch et al. 2020). This part of the Black Forest consists of mixed temperate forests within a low mountain range, spans roughly 5,000 km² (75% forests) and rises from 120 to 1,493 metres above sea level (m.a.s.l.). Norway spruce (Picea abies (L.) H. Karst.) account for about 42.8% of trees in the forest, and is especially prevalent in the northern and eastern regions as well as higher elevations. In the Southern and Western region of the Black Forest, silver fir (Abies alba Mill.) and European beech (Fagus sylvatica L.) comprise greater proportions of forest stands (18.5% and 15.3%). The forest has been managed under a close-to-nature forest management system since the 1990s. However, an increasing focus on conserving biodiversity led to the introduction of a retention forest program in 201..., , # Data from: Host identity, nest quality, and parasitism strategy: influences on body size variation in parasitoid bees and wasps

[https://doi.org/10.5061/dryad.rfj6q57m6](https://doi.org/10.5061/dryad.rfj6q57m6)

## Description of the data and file structure

This README file describes the data package accompanying the associated publication. The folder **OIK-11052.R1_data.zip **containing six-data files in .csv format that were used in analysis, and folder **OIK-11052.R1_R_script.zip ** containing R files to reproduce the analysis of above mentioned publication.

### Files and variables

#### File: OIK-11052.R1\_data.zip

**Files list (files found within OIK-11052.R1_data.zip):**

canopycover.csv

deadwood.csv

nest_data.csv

prop_conifer.csv

ssci&alttude.csv

understorey%.csv

**Description:** 

1\. canopycover.csv: data for thee mean value of canopy cover calculated in ImageJ using overhead hemispherical photos obtained at each sampling site.

2\. deadwood.csv: data for the me...

体型大小以多种方式决定了不同类群生物的移动能力和适合度。然而，由于寄生蜂（parasitoid）行为、环境及其宿主之间的复杂相互作用，高营养级无脊椎动物（trophic invertebrate）体型大小的驱动因素——包括种内和种间变异——仍知之甚少。我们测量了德国南黑森林地区利用蛀洞筑巢蜂类诱捕巢（trap nests）采集到的4种寄生蜂共393个个体的体型大小，这些个体来自2220个被寄生的育幼细胞。我们将寄生蜂体型大小与15种宿主物种的大小及其巢的直径，以及四个环境梯度（针叶树比例、冠层覆盖度（canopy cover）、结构复杂性、草本覆盖度和枯木直径）相关联。

## 研究区域
本研究在德国巴登-符腾堡州的南黑森林地区开展，是2123号研究培训小组——森林生物多样性保护（ConFoBi）的一部分（Storch等，2020）。该区域的黑森林由低山范围内的温带混交林构成，面积约5000平方公里（其中75%为森林），海拔范围为120至1493米（m.a.s.l.）。挪威云杉（Picea abies (L.) H. Karst.）约占森林树木总量的42.8%，在北部、东部及高海拔地区尤为常见。在黑森林的南部和西部地区，银杉（Abies alba Mill.）和欧洲山毛榉（Fagus sylvatica L.）在林分中的占比更高（分别为18.5%和15.3%）。自20世纪90年代以来，该森林一直采用近自然森林管理体系。然而，随着对生物多样性保护的关注度日益提升，201...年引入了保留林计划。

# 数据来源：宿主身份、巢质量与寄生策略：对寄生蜂体型变异的影响
[https://doi.org/10.5061/dryad.rfj6q57m6]

## 数据与文件结构描述
本README文件描述了与相关出版物配套的数据包。文件夹**OIK-11052.R1_data.zip**包含6个用于分析的.csv格式数据文件，文件夹**OIK-11052.R1_R_script.zip**包含用于重现上述出版物分析结果的R文件。

### 文件与变量
#### 文件：OIK-11052.R1_data.zip
**文件列表（OIK-11052.R1_data.zip内包含的文件）：**
canopycover.csv
deadwood.csv
nest_data.csv
prop_conifer.csv
ssci&alttude.csv
understorey%.csv

**描述：**
1. canopycover.csv：每个采样点通过顶视半球照片在ImageJ中计算得到的冠层覆盖度平均值数据。
2. deadwood.csv：枯木（deadwood）的...数据。