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Spatial Surveillance of Invasion by Alien Species in a Heterogeneous Ecological Landscape

机译:异质生态景观中外来物种入侵的空间监测

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This article is an attempt to assess the invasion risk from the most noxious alien plant species using the GPS recorded locations and environmental variables. The invasion risk was modelled by combining the three ecological niche modelling algorithms- DesktopGARP, Openmodeller DesktopGARP and Maxent after validating their accuracies. The accuracies ranged from moderate to good in all the algorithms, for all six species. The result showed Ageratina adenophora and Ageratum conyzoides as highly invasive species both in terms of area coverage and the ecological tolerance range of the study site. It was also indicative that, irrespective of the species, agricultural lands are most susceptible to invasion among all other types of land uses in the study area.
机译:本文旨在使用GPS记录的位置和环境变量评估最有害的外来植物物种的入侵风险。验证其准确性后,通过组合三种生态位建模算法(DesktopGARP,Openmodeller DesktopGARP和Maxent)对入侵风险进行建模。在所有算法中,对所有六个物种的准确性范围从中度到良好。结果表明,无论从面积上还是在研究地点的生态容忍范围上,紫茎泽兰和香叶ger香均为高入侵物种。这也表明,在研究区域的所有其他类型的土地利用中,不论物种如何,农业土地最容易受到入侵。

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