A. Yudaputra, I. Fijridiyanto, I. P. Astuti, R. N. Zulkarnaen, A. Yuswandi, J. Witono, Yuzammi
{"title":"入侵植物紫茎泽兰在未来气候预测中的地理分布变化","authors":"A. Yudaputra, I. Fijridiyanto, I. P. Astuti, R. N. Zulkarnaen, A. Yuswandi, J. Witono, Yuzammi","doi":"10.9734/ARRB/2021/V36I530373","DOIUrl":null,"url":null,"abstract":"Aims: This study aims to predict the future geographic distribution shift of invasive plant species Austroeupathorium inulifolium as the impact of global climate change. Study Design: The rising temperature and precipitation change lead to the geographic distribution shift of organisms. A. inulifolium belongs to invasive plant species that often causes a substantial economic loss and ecological degradation in the invaded areas. Modelling of species distribution using the climate-based model could be used to understand the geographic distribution shift of invasive species in the future scenario under global climate change. Place and Duration of Study: Center for Plant Conservation and Botanic Gardens – LIPI and 6 months. Methodology: The total 2228 of occurrence records were derived from the Global Biodiversity Original Research Article Yudaputra et al.; ARRB, 36(5): 38-47, 2021; Article no.ARRB.68482 39 Information Facility (GBIF) database. The seven climatic variables were selected from 19 variables using a pairwise correlation test (vifcor) with a threshold >0.7. The ensemble model was used by combining Random Forest (RF) and Support Vector Machine (SVM). Results: Both two models are well-performed either using AUC or TSS evaluation methods. RF and SVM have AUC >0.95, and TSS >0.8. The predicted current distribution tends to have larger distribution areas compared to observed occurrence records. The predicted future distribution seems to be shifted in several parts of North America and Europe. Conclusion: The geographic distribution of invasive plant species A. inulifolium will be shifted to the Northern part of globe in 2090. Mean temperature of driest quarter and precipitation of warmest quarter are the two most important variables that determine the distribution pattern of the A. inulifolium. The predictive distribution pattern of invasive plant A. inulifolium would be important to provide information about the impact of climate change to the geographic distribution shift of this species.","PeriodicalId":8230,"journal":{"name":"Annual research & review in biology","volume":"49 1","pages":"38-47"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Geographic Distribution Shift of Invasive Plant Austroeupatorium inulifolium in the Future Climate Projection\",\"authors\":\"A. Yudaputra, I. Fijridiyanto, I. P. Astuti, R. N. Zulkarnaen, A. Yuswandi, J. Witono, Yuzammi\",\"doi\":\"10.9734/ARRB/2021/V36I530373\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aims: This study aims to predict the future geographic distribution shift of invasive plant species Austroeupathorium inulifolium as the impact of global climate change. Study Design: The rising temperature and precipitation change lead to the geographic distribution shift of organisms. A. inulifolium belongs to invasive plant species that often causes a substantial economic loss and ecological degradation in the invaded areas. Modelling of species distribution using the climate-based model could be used to understand the geographic distribution shift of invasive species in the future scenario under global climate change. Place and Duration of Study: Center for Plant Conservation and Botanic Gardens – LIPI and 6 months. 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Mean temperature of driest quarter and precipitation of warmest quarter are the two most important variables that determine the distribution pattern of the A. inulifolium. 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引用次数: 1
摘要
目的:本研究旨在预测全球气候变化影响下外来入侵植物白杨(Austroeupathorium inulifolium)未来地理分布的变化。研究设计:气温上升和降水变化导致生物地理分布的转移。菊属入侵植物,经常给入侵地区造成严重的经济损失和生态退化。利用基于气候的物种分布模型可以了解未来全球气候变化情景下入侵物种的地理分布变化。学习地点和时间:植物保护与植物园中心(LIPI)和6个月。方法:2228条发生记录来源于全球生物多样性原创研究文章Yudaputra et al.;植物学报,36(5):38-47,2021;文章no.ARRB。68482 39信息设施(GBIF)数据库。采用阈值>0.7的双相关检验(vifcor)从19个气候变量中筛选出7个气候变量。采用随机森林(RF)和支持向量机(SVM)相结合的集成模型。结果:无论采用AUC还是TSS评价方法,两种模型均具有良好的表现。RF和SVM的AUC >0.95, TSS >0.8。与观测到的发生记录相比,预测的电流分布往往具有更大的分布区域。预测的未来分布似乎在北美和欧洲的一些地区发生了变化。结论:2090年,入侵植物金合欢的地理分布将向地球北部转移。最干季平均气温和最暖季降水是决定金针叶分布格局的两个最重要的变量。预测入侵植物金盏花的地理分布格局将为研究气候变化对其地理分布变化的影响提供重要信息。
Geographic Distribution Shift of Invasive Plant Austroeupatorium inulifolium in the Future Climate Projection
Aims: This study aims to predict the future geographic distribution shift of invasive plant species Austroeupathorium inulifolium as the impact of global climate change. Study Design: The rising temperature and precipitation change lead to the geographic distribution shift of organisms. A. inulifolium belongs to invasive plant species that often causes a substantial economic loss and ecological degradation in the invaded areas. Modelling of species distribution using the climate-based model could be used to understand the geographic distribution shift of invasive species in the future scenario under global climate change. Place and Duration of Study: Center for Plant Conservation and Botanic Gardens – LIPI and 6 months. Methodology: The total 2228 of occurrence records were derived from the Global Biodiversity Original Research Article Yudaputra et al.; ARRB, 36(5): 38-47, 2021; Article no.ARRB.68482 39 Information Facility (GBIF) database. The seven climatic variables were selected from 19 variables using a pairwise correlation test (vifcor) with a threshold >0.7. The ensemble model was used by combining Random Forest (RF) and Support Vector Machine (SVM). Results: Both two models are well-performed either using AUC or TSS evaluation methods. RF and SVM have AUC >0.95, and TSS >0.8. The predicted current distribution tends to have larger distribution areas compared to observed occurrence records. The predicted future distribution seems to be shifted in several parts of North America and Europe. Conclusion: The geographic distribution of invasive plant species A. inulifolium will be shifted to the Northern part of globe in 2090. Mean temperature of driest quarter and precipitation of warmest quarter are the two most important variables that determine the distribution pattern of the A. inulifolium. The predictive distribution pattern of invasive plant A. inulifolium would be important to provide information about the impact of climate change to the geographic distribution shift of this species.