Chanampa Mariana Del M, Gleiser Raquel M, Hoyos Carlos L, Copa Griselda N, Mangudo Carolina, Nasser Julio R, Gil José F
Instituto de Investigaciones en Energía no Convencional (INENCO-CONICET), Universidad Nacional de Salta, Sector Salud y Ambiente, Av. Bolivia, Salta, Argentina.
Universidad Nacional de Córdoba-CONICET, Instituto Multidisciplinario de Biología Vegetal (IMBIV)-Centro de Relevamiento y Evaluación de Recursos Agrícolas y Naturales (CREAN-IMBIV), Córdoba, Argentina.
J Med Entomol. 2018 Oct 25;55(6):1431-1439. doi: 10.1093/jme/tjy129.
The sand fly fauna in Hipólito Yrigoyen, Argentina, a locality where cutaneous leishmaniasis cases occur, was surveyed with zones of higher abundance of sand flies correlated to vegetation cover estimated through normalized difference vegetation index (NDVI). Sand flies were collected with 10 CDC traps during six nights, from December 2009 to January 2010. A map was built of expected sand flies abundance in which levels of NDVI were categorized. In total, 1,392 Phlebotominae (Diptera: Psychodidae) specimens were collected, comprised of the following species: Nyssomyia neivai (Pinto 1926), Migonemyia migonei (França 1920), species of the cortelezzii complex (Brèthes 1923), Evandromyia sallesi (Galvão & Coutinho 1940), and Psathyromyia shannoni (Dyar 1929). Positive correlations were found between the abundance of sand flies and the NDVI (P < 0.05) for buffer areas of <150 m radii from the trap location points, i.e., the sand fly abundance was greater where vegetation cover and density were greater. In this context, plant cover should be taken into account to prioritize surveillance and control areas within the program of sand flies control in northern Argentina.
在阿根廷希波利托·伊里戈延，对一个有皮肤利什曼病病例发生的地区的白蛉种群进行了调查，发现白蛉丰度较高的区域与通过归一化植被指数（NDVI）估算的植被覆盖度相关。2009年12月至2010年1月期间，用10个疾控中心诱捕器在六个夜晚收集白蛉。绘制了预期白蛉丰度地图，其中对NDVI水平进行了分类。总共收集到1392只白蛉亚科（双翅目：毛蠓科）标本，包括以下物种：内氏白蛉（平托，1926年）、米氏白蛉（弗朗萨，1920年）、科尔特莱齐复合体物种（布雷特斯，1923年）、萨氏伊氏白蛉（加尔万和库蒂尼奥，1940年）以及香农普氏白蛉（戴尔，1929年）。在距诱捕点半径<150米的缓冲区，发现白蛉丰度与NDVI之间存在正相关（P<0.05），即植被覆盖度和密度较高的地方白蛉丰度更大。在此背景下，在阿根廷北部白蛉控制计划中，应考虑植物覆盖情况，以便对监测和控制区域进行优先排序。
