2019-08-012024-05-18https://scholars.lib.ntu.edu.tw/handle/123456789/703767摘要：外來入侵物種是生物多樣性的主要威脅，公共安全，農業和經濟。近年來，在2017年日本神戶和韓國大邱等新地區發現了一種新的外來入侵物種，紅火蟻，。同時，台灣北部和2018年在高雄的新地點報告的病例越來越多科學家對太平洋地 區新一輪紅火蟻傳播的原因感到困惑，尤其是那些以前沒有紅火蟻的國家。科學家從生物技術和生態學的角度進行調查，重點關注RIFA攔截數據和傳播模式，而不強調傳播的發生方式。雖然這些方法對潛在的爆發提供了一定程度的預測，但它們對決策者如何在不知道實際路徑的情況下預防的信息較少。 我們的團隊將運用流行病的空間擴散模型，地理空間計算法，和分析區域到全球的貿易與環境的相互作用，來了解實際紅火蟻傳播路徑，對傳播的根源提出新的預測並貢獻我們的結果。過程中，我們建立一個創新的RIFA通報和回應平台。使用地理編碼的RIFA分佈 - 環境 - 人類交互數據庫，該研究將進一步測試一組基於SIS（易感性 - 傳染性 - 易感性）模型，以了解RIFA入侵路徑和未來分布。我們的研究將對正在進行的關於RIFA入侵原因的科學辯論，RIFA預防，農業和經濟影響以及台灣公民科學領域發展作出重大貢獻。<br> Abstract: Invasive alien species are a major threat to biological diversity, public safety, agriculture, and economics. In recent years, a new wave of invasive alien species (IAS), red imported fire ant (RIFA), a generic name for a eusocial insect in the genus Solenopsis, has been detected in new regions, such as Kobe, Japan in 2017, and Daegu, South Korea in 2018. Meanwhile, an increasing number of cases were reported in the northern part of Taiwan and new locations in Kaohsiung in 2018. Multiple hypotheses have been proposed for these unexpected invasions and further spreading of RIFA. Investigation of the causal roots of the spreading is a high-priority scientific inquiry in Science, Nature, PNAS, and PLOS in the past ten years. The crucial element that all models lack is a network topology and an alternative method that allows the inclusion of trading dynamics. Our team will model of geospatial process in the human environment, especially spatial diffusion of epidemics, population mobility structures, and human-environment interactions from local, regional to global scales, that will incorporate both human activities and climate conditions, to better predict the spread of RIFAs.網路治理紅火蟻流行病學模型昆蟲傳播紅火蟻防治network governanceRIFASIS model in epidemiologyinsect transmissionred imported fire ant prevention