Abundance and diversity of flower-visiting insects in cocoa and forest landscapes in Ghana

OverviewThis dataset contains the results of a field experiment conducted to study the abundance and diversity of flying flower-visitor insects, particularly focusing on pollinator communities, in and around the Bia Conservation Area (BCA) in the Western North Region of Ghana. The experiment aimed to assess how changes in landscapes, particularly the loss of natural forests due to cocoa expansion, and trap type, affect flower-visiting insect communities in Ghana. Experiment details:Study area: The study was conducted within and around the Bia Conservation Area, characterized by moist evergreen forests and various land use types including agriculture, cocoa plantations, and urban settlements. The main economic activity for the inhabitants in the vicinity of the protected area is agriculture and forest clearance has led to a landscape dominated by cocoa plantations outside of BCA.Sampling sites: Forty-eight candidate sites were initially selected based on land-cover maps developed by Satelligence (2019), and 18 sites were chosen along a gradient of natural forest cover for the experiment. Sampling of flying insects: Ground pan traps (GPTs) and aerial pan traps (APTs) were used to sample flying insects over four periods between 2021 and 2022, covering both rainy and dry seasons. Dataset description:Columns:The dataset consists of various columns including site information, trap type, season, sampling round, insect abundance counts for different orders and species, land use types, proportion of natural forest cover, latitude, and longitude. Data Format: The data are provided in a tabular format with rows representing individual trap samples and columns representing different variables. Files included Dataset_Boakye_et_al_2024: Contains the main dataset with all relevant information. Readme File: This readme file provides an overview of the dataset and experiment details. Contact information For any inquiries regarding the dataset or experiment details, please contact: Richard Gyamfi Boakye University College Dublin Email: [e-mail] email: [e-mail] ReferenceSATELLIGENCE 2019. Satellite imaging making deforestation-free cocoa possible. Accesses at https://satelligence.com/news/satellite-imaging-makingdeforestation-free-cocoa on 10/04/2020.

数据集概述
本数据集收录了一项野外实验的研究结果，该实验旨在探究加纳西北部地区比亚保护区（Bia Conservation Area, BCA）内外飞行访花昆虫的丰度与多样性，重点关注传粉昆虫群落。实验核心目标为评估景观变化——尤其是可可种植扩张引发的天然林丧失——以及诱捕器类型，对加纳境内访花昆虫群落的影响。

实验详情
研究区域：实验在比亚保护区及其周边区域开展，该区域以湿润常绿林为核心生境，同时涵盖农业用地、可可种植园与城镇聚落等多种土地利用类型。保护区周边居民的主要经济活动为农业，森林砍伐导致比亚保护区外围的景观以可可种植园为主。

采样点位：研究团队首先基于Satelligence（2019）制作的土地覆盖图初选了48个候选点位，并依据天然林覆盖梯度选取了18个点位用于本次实验。

飞行昆虫采样：研究采用地面盘式诱捕器（Ground pan traps, GPTs）与空中盘式诱捕器（Aerial pan traps, APTs），于2021年至2022年间的4个采样周期开展野外采样，覆盖雨季与旱季两个季节。

数据集说明
字段信息：数据集包含多类变量字段，涵盖点位信息、诱捕器类型、采样季节、采样轮次、不同昆虫目与物种的丰度计数、土地利用类型、天然林覆盖比例、纬度与经度。

数据格式：数据以表格形式存储，每一行代表单个诱捕器的采样样本，每一列代表一项不同的观测变量。

包含文件：
1. Dataset_Boakye_et_al_2024：收录全部相关信息的主数据集文件。
2. Readme File：本说明文档，用于概述数据集与实验的详细信息。

联系方式：若您对本数据集或实验细节存在任何疑问，请联系：
Richard Gyamfi Boakye
都柏林大学学院（University College Dublin）
邮箱：[e-mail]
备用邮箱：[e-mail]

参考文献：
Satelligence 2019. 卫星成像助力实现无毁林可可生产。访问链接：https://satelligence.com/news/satellite-imaging-makingdeforestation-free-cocoa，访问日期：2020年10月4日。