An. darlingi modeling dataset

<b>Entomological data and Trap Position</b>: Mosquitoes were collected during the dry seasons in 2012 (September 3–November 25; 12 weeks), 2013 (September 2–November 24; 12 weeks), and 2014 (September 1–October 26; 8 weeks) from eight different sites that varied by year. Sites were selected from field expertise and followed a longitudinal transect that maximized heterogeneity of the landscape and lifestyle characteristics of the population. Trapping sessions were conducted on two non-consecutive nights per week, between 6:00 pm and 8:00 am, by using Mosquito Magnet® traps (Woodstream Corporation, Lititz, PA) baited with octenol (MMoct). Such traps have previously been proven useful to monitor the spatial and temporal abundance of malaria vectors in French Guiana. Mosquitoes were stored at -20 °C until counting and morphological identification. To achieve a weekly cartographic output and to smooth variation between collection nights, the two bi-weekly observations were averaged to approximate a daily number of specimens and then multiplied by seven to approximate a weekly number of specimens. In all, 165 weekly approximated <i>An. darlingi </i>density records across the eight study sites was finally available for analyses, which was slightly less than our expected maximum of 184, owing to the mechanical failure of traps. Weekly <i>An. darlingi</i> densities were allocated to three classes following the tercile method: “1" "Low densities” (first tercile), "2" “Medium densities” (second tercile), and "3" “High densities” (third tercile). Since our activities were not conducted in a protected area (not a national park or a regional nature reserve), no specific permission was required, and field studies did not involve endangered or protected species.<br><b>Land Cover Map: </b>A SPOT-5 image acquired on October 14, 2012, with four color channels (red, green, near-infra-red, and middle infrared) was selected to characterize the landscape of the study area. One image was sufficient to cover the eight trapping sites. However, the presence of clouds required the posterior use of a second SPOT-5 image (July 22, 2013) in order to fill the missing data (5% of the total study area) and obtain a spatially complete product. A land cover map of the study area was produced based on field observations and a supervised training approach with maximum likelihood classification. The classification included five land cover types identified as “built, roads, and bare soils”; “low vegetation”; “forest”; “very dense forest”; and “water.” A 7 × 7 pixel mode filter (i.e., each pixel value being replaced by its most common neighbor in a 7 × 7 cell moving window) was applied to the classification to reduce noise. BD-Topo® 2012 (IGN, the French National Institute of Geographic and Forest Information) was used to separate the “built” surfaces and “roads and bare soil” surfaces, resulting in a six-class land cover map.<br><b>Meteorological Data: </b>Daily meteorological records were obtained from the Meteo-France weather station located in the city center of Saint-Georges de l’Oyapock.<br> <br>

<b>昆虫学数据与诱捕点位</b>：研究分别于2012年（9月3日—11月25日，共12周）、2013年（9月2日—11月24日，共12周）及2014年（9月1日—10月26日，共8周）的旱季开展蚊虫采集，采样点位每年有所调整，共计8个不同点位。采样点位依据野外专业经验选取，沿纵向样带布设，以最大化研究区域景观与当地人群生活方式特征的异质性。诱捕工作于每周两个非连续夜间的18:00至次日8:00开展，使用以辛烯醇（octenol，MMoct）为诱饵的Mosquito Magnet®诱捕器（Woodstream Corporation，宾夕法尼亚州利蒂茨市）。此前已有研究证实，该类诱捕器可有效监测法属圭亚那地区疟疾媒介蚊虫的时空丰度。采集到的蚊虫均保存于-20℃环境中，直至后续计数与形态学鉴定。为生成周度制图结果并消除不同采集夜间的采样波动，研究人员将每两周两次的观测数据取平均值以估算单日标本量，再乘以7得到周度估算标本量。最终，8个研究点位共计获得165条达林按蚊（*An. darlingi*）周度估算密度记录，用于后续分析；由于部分诱捕器出现机械故障，该数据量略低于预期最大值184。研究采用三分位法将达林按蚊周度密度划分为3个等级：等级1为「低密度」（第一三分位组）、等级2为「中密度」（第二三分位组）、等级3为「高密度」（第三三分位组）。由于本次研究未在保护区（国家公园或区域自然保护区）内开展，因此无需获取特定许可，且野外研究未涉及濒危或保护物种。<br><b>土地覆盖图</b>：研究选取2012年10月14日获取的SPOT-5卫星影像，该影像包含红、绿、近红外及中红外4个波段，用于表征研究区域的景观特征。单景影像即可覆盖全部8个诱捕点位，但受云覆盖影响，需补充使用2013年7月22日获取的第二景SPOT-5影像，以填补总研究区域5%的缺失数据，最终得到空间完整的遥感产品。研究基于野外实地观测与最大似然分类的监督训练方法，生成研究区域的土地覆盖图。本次分类共划分5类土地覆盖类型：「建成区、道路与裸土」、「低矮植被」、「森林」、「茂密森林」与「水体」。为降低分类结果的噪声，研究对分类结果施加7×7像素众数滤波（即通过7×7移动窗口内最常见的邻域像素值替换原像素值）。研究使用BD-Topo® 2012数据集（法国国家地理与森林信息研究所，IGN）区分「建成地表」与「道路及裸土地表」，最终得到6类土地覆盖图。<br><b>气象数据</b>：逐日气象记录取自位于奥亚波克河畔圣乔治市中心的法国气象局（Meteo-France）气象站。