首页> 美国卫生研究院文献>Philosophical Transactions of the Royal Society B: Biological Sciences >Assessing current and projected suitable habitats for tree-of-heaven along the Appalachian Trail
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Assessing current and projected suitable habitats for tree-of-heaven along the Appalachian Trail

机译:评估阿巴拉契亚小径沿岸天堂树的当前和预计的合适栖息地

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摘要

The invasion of ecosystems by non-native species is a major driver of biodiversity loss worldwide. A critical component of effective land management to control invasion is the identification and active protection of areas at high risk of future invasion. The Appalachian Trail Decision Support System (A.T.-DSS) was developed to inform regional natural resource management by integrating remote sensing data, ground-based measurements and predictive modelling products. By incorporating NASA's remote sensing data and modelling capacities from the Terrestrial Observation and Prediction System (TOPS), this study examined the current habitat suitability and projected suitable habitat for the invasive species tree-of-heaven (Ailanthus altissima) as a prototype application of the A.T.-DSS. Species observations from forest surveys, geospatial data, climatic projections and maximum entropy modelling were used to identify regions potentially susceptible to tree-of-heaven invasion. The modelling result predicted a 48% increase in suitable area over the study area, with significant expansion along the northern extremes of the Appalachian Trail.
机译:非本地物种对生态系统的入侵是全球生物多样性丧失的主要驱动力。有效的土地管理以控制入侵的重要组成部分是识别和积极保护未来入侵风险较高的地区。阿巴拉契亚足迹决策支持系统(A.T.-DSS)的开发是通过整合遥感数据,地面测量和预测建模产品来为区域自然资源管理提供信息。通过合并NASA的遥感数据和地面观测与预测系统(TOPS)的建模能力,本研究检查了当前栖息地的适宜性,并预测了入侵物种天堂树(Ailanthus altissima)的合适栖息地,作为该物种的原型应用。 AT-DSS。通过森林调查,地理空间数据,气候预测和最大熵模型对物种进行观察,以识别可能易受天堂之树入侵的区域。建模结果预测整个研究区域的合适面积将增加48%,并且沿着阿巴拉契亚小径的北端显着扩展。

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