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]<br>ReferenceSATELLIGENCE 2019. <i>Satellite imaging making deforestation-free cocoa possible. Accesses at </i><i>https://satelligence.com/news/satellite-imaging-makingdeforestation-free-cocoa</i><i> on 10/04/2020</i>.<br>

概述
本数据集包含一项野外实验的成果，该实验旨在研究加纳西北大区比亚保护区（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。实验旨在评估景观变化——尤其是可可种植扩张导致的天然林丧失——以及诱捕器类型，对加纳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开展，区域内分布有湿润常绿林，以及农业用地、可可种植园、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，保护区外的景观因森林砍伐已被可可种植园主导。
采样点位：最初基于Satelligence（2019）绘制的土地覆盖图选取了48个候选点位，最终沿天然林覆盖梯度选取18个点位用于实验。
飞行昆虫采样：2021年至2022年间，分四个时段开展飞行昆虫采样，覆盖雨季与旱季，采样工具为地面碗状诱捕器（Ground pan traps, GPTs）与空中碗状诱捕器（Aerial pan traps, APTs）。

数据集说明：
字段信息：数据集包含多类字段，包括点位信息、诱捕器类型、季节、采样轮次、不同目与物种的昆虫丰度计数、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，行代表单个诱捕器样本，列代表不同变量。

包含文件：
Dataset_Boakye_et_al_2024：包含所有相关信息的主数据集。
Readme文件：该自述文件提供了数据集与实验详情的概述。

联系方式：若有关于数据集或实验细节的查询，请联系：
Richard Gyamfi Boakye
都柏林大学学院
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》，于2020年10月4日访问自https://satelligence.com/news/satellite-imaging-makingdeforestation-free-cocoa