Costa Rica mosquito community species occurrence and site environmental data, July - August 2017

Land use change is an important driver of both biodiversity loss and zoonotic disease transmission in tropical countryside landscapes. Developing solutions for protecting biodiversity, public health, and livelihoods in working landscapes requires understanding the spatial scales at which habitat characteristics such as land cover shape biodiversity, especially for arthropods that transmit pathogens. A growing body of evidence shows that species richness for many taxa correlates with tree cover at small spatial scales of <100 m, indicating that local tree cover management is a promising conservation tool. To investigate whether mosquito species richness, community composition, and presence of specific disease vector species respond to tree cover—and if so, whether at spatial scales similar to other taxa—we surveyed mosquito communities along a tree cover gradient and across agricultural, residential, and forested land uses in rural southern Costa Rica. We found that tree cover was bot..., Field-caught mosquitoes captured from sites with varying land uses and land cover in southwestern Costa Rica were identified by DNA sequencing and morphologically (Aedes genus only). The file \"SpeciesSiteData_CRMosquitoes_4Dec2023.csv\" contains, for each site included in the survey, presence-absence data for each species observed, and environmental variables relating to land use, tree cover, and climate. Land use categories, GPS coordinates, and elevation were recorded by the field team at the time of sample collection. Tree cover values were calculated from a raster of fine-scale tree cover created by Echeverri et al., available at https://doi.org/10.5061/dryad.1ns1rn8w7. Mean annual temperature was extracted from the WorldClim bioclim dataset (https://www.worldclim.org/data/worldclim21.html). The file \"OTUSequences_8Feb2021.csv\" contains the cleaned DNA sequences, grouped by OTU, that were used for taxonomic identification.  , , # Costa Rica mosquito community species occurrence and site environmental data, July - August 2017

## Description of the data and file structure

The file \"SpeciesSiteData_CRMosquitoes_4Dec2023.csv\" contains, for each site included in the survey, presence-absence data for each species observed, and environmental variables relating to land use, tree cover, and climate.

**OTU** = identifier code for operational taxonomic units defined by 97% or greater sequence similarity

**Site** = site ID code

**PresAbs** = 0 if the OTU was absent, 1 if the OTU was present

**Species** = taxonomic identification for the OTU, determined by comparison with BOLD and Genbank sequence databases

**Canton** = administrative unit in which the site was located

**Region** = larger geographic region in which the site was located

**num_collection_events** = number of times traps were set at the site during the survey period

**num_pres** = number of collection events during which Aedes albopictus was morph...

土地利用变化是热带乡村景观中生物多样性丧失与人畜共患病传播的重要驱动因素。在生产性景观中制定保护生物多样性、保障公共卫生与民生的解决方案，需要明晰土地覆被等生境特征调控生物多样性的空间尺度，尤其针对携带病原体的节肢动物而言。越来越多的研究证据表明，众多类群的物种丰富度与小于100米的小尺度空间范围内的树木覆被呈显著相关，这提示本地树木覆被管理是一项颇具前景的保护手段。为探究蚊虫物种丰富度、群落组成以及特定病媒物种的存在与否是否会响应树木覆被变化，以及若存在响应时其响应的空间尺度是否与其他类群一致，我们在哥斯达黎加南部乡村沿树木覆被梯度，针对农业、居住与森林用地开展了蚊虫群落调查。本研究发现树木覆被在……（原文此处存在截断），本研究从哥斯达黎加西南部不同土地利用与覆被的样点采集野外捕获蚊虫，并通过DNA测序与形态学鉴定（仅针对伊蚊属（Aedes））。文件"SpeciesSiteData_CRMosquitoes_4Dec2023.csv"收录了本次调查所有样点的观测物种存在-缺失数据，以及与土地利用、树木覆被和气候相关的环境变量。样点采集时由野外团队记录了土地利用类型、GPS坐标与海拔高程。树木覆被值由Echeverri等人制作的高精度树木覆被栅格数据计算得到，该数据可通过https://doi.org/10.5061/dryad.1ns1rn8w7获取。年平均气温数据取自WorldClim生物气候数据集（https://www.worldclim.org/data/worldclim21.html）。文件"OTUSequences_8Feb2021.csv"收录了用于物种分类鉴定的经预处理的DNA序列，序列按操作分类单元（OTU, Operational Taxonomic Unit）分组。# 2017年7-8月哥斯达黎加蚊虫群落物种出现记录与样点环境数据

## 数据与文件结构说明
文件"SpeciesSiteData_CRMosquitoes_4Dec2023.csv"收录了本次调查所有样点的观测物种存在-缺失数据，以及与土地利用、树木覆被和气候相关的环境变量。

**操作分类单元（OTU, Operational Taxonomic Unit）**：基于97%及以上序列相似性定义的分类单元识别码
**样点（Site）**：样点识别编码
**存在-缺失值（PresAbs）**：OTU未检出时记为0，检出时记为1
**物种（Species）**：通过与BOLD和GenBank序列数据库比对得到的OTU分类鉴定结果
**县（Canton）**：样点所在的行政单元
**区域（Region）**：样点所在的更大地理分区
**采集事件数（num_collection_events）**：调查期间该样点设置诱捕器的总次数
**阳性采集事件数（num_pres）**：调查期间白纹伊蚊（Aedes albopictus）经形态学鉴定检出的采集事件次数