Gallego Diego, Sabah Sandra Carol, Lencina José Luísis, Carrillo Antonio Félix
Sanidad Agrícola Econex S.L., 30149 Murcia, Spain.
Department of Ecology, University of Alicante, 03690 Alicante, Spain.
Insects. 2023 Jun 30;14(7):592. doi: 10.3390/insects14070592.
and are the main vectors of the invasive bacteria and key threats to European plant health. Previous studies of the potential distribution of reveal that climatic factors are the main drivers of its distribution on the Mediterranean Basin scale. Other local studies reveal that the landscape could also have a role in the distribution of both species of and . Our work is aimed at understanding the role and importance of bioclimatic and landscape environmental factors in the distributions of the vector and potential vector species , , and on a regional scale across the Autonomous Community of Murcia (SE Spain), a region with relevant environmental gradients of thermality and crop intensity. We used sweeping nets for sampling 100 points during eight months in 2020. Using bioclimatic landscape composition and topographical variables, we carried out habitat suitability models for each species using the maximum entropy algorithm (MaxEnt). Distribution results for , and indicate a gradient in habitat suitability, with the optimum in the coldest and wettest areas in landscapes with a high proportion of forest. All three species are absent from the southern third of the study region, the hottest, driest and most intensively cultivated area. These results are useful and should be considered in contingency plans against possible invasions of in Mediterranean regions.
[具体物种名称1]和[具体物种名称2]是入侵细菌的主要传播媒介，对欧洲植物健康构成关键威胁。先前关于[具体物种名称1]潜在分布的研究表明，气候因素是其在地中海盆地尺度上分布的主要驱动因素。其他局部研究表明，景观也可能在[具体物种名称1]和[具体物种名称2]这两个物种的分布中发挥作用。我们的工作旨在了解生物气候和景观环境因素在传播媒介及潜在传播媒介物种[具体物种名称1]、[具体物种名称2]、[具体物种名称3]和[具体物种名称4]分布中的作用和重要性，研究范围为西班牙东南部穆尔西亚自治区，该地区具有显著的热梯度和作物强度环境梯度。2020年，我们用扫网在八个月内对100个点进行了采样。利用生物气候景观组成和地形变量，我们使用最大熵算法（MaxEnt）对每个物种进行了栖息地适宜性模型分析。[具体物种名称1]、[具体物种名称2]和[具体物种名称3]的分布结果表明了栖息地适宜性的梯度变化，在森林比例高的景观中，最适宜区域位于最冷和最湿润的地区。研究区域南部三分之一地区，即最热、最干燥和耕种最密集的地区，这三个物种均不存在。这些结果很有用，在地中海地区应对[具体物种名称1]可能入侵的应急计划中应予以考虑。
