2021
DOI: 10.1007/s42965-020-00135-0
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Modelled distribution of an invasive alien plant species differs at different spatiotemporal scales under changing climate: a case study of Parthenium hysterophorus L.

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Cited by 16 publications
(4 citation statements)
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“…To develop effective species recovery plans within their natural habitats, an important step involves modeling the present habitats and predicting the future range of species (Kumari et al, 2022). To ensure the conservation and sustainability of species habitats in the future, it is crucial to employ habitat distribution modeling, which enables us to assess dispersal range and the impact of climate change on future habitat suitability (Mushtaq et al, 2021;Zhong et al, 2021). This approach helps us understand the intricate relationship between species distribution range, extinction, and the critical determinants of geographical range area (Cardillo et al, 2008;Purvis et al, 2000).…”
Section: Discussionmentioning
confidence: 99%
“…To develop effective species recovery plans within their natural habitats, an important step involves modeling the present habitats and predicting the future range of species (Kumari et al, 2022). To ensure the conservation and sustainability of species habitats in the future, it is crucial to employ habitat distribution modeling, which enables us to assess dispersal range and the impact of climate change on future habitat suitability (Mushtaq et al, 2021;Zhong et al, 2021). This approach helps us understand the intricate relationship between species distribution range, extinction, and the critical determinants of geographical range area (Cardillo et al, 2008;Purvis et al, 2000).…”
Section: Discussionmentioning
confidence: 99%
“…We achieved the analysis with the SDMtoolbox package in ArcGIS v. 10.8 (Brown et al, 2017 ). We implemented a Gaussian Kernel (Bosso et al, 2022 ; Mushtaq et al, 2021 ; Zhang et al, 2018 ) using QGIS software to avoid a sampling bias and help identify the highest potential suitability areas. With this, we selected the high suitable priority areas (hotspots) for conservation.…”
Section: Methodsmentioning
confidence: 99%
“…Ambrosia trifida pollen is also a source of allergic reactions such as hay fever, allergic rhinitis and other diseases [20], and severe allergies can lead to concurrent emphysema, cor pulmonale and even death, which is a great threat to human health. Therefore, in various climate change scenarios, it is of particular importance to predict the future adaptive distribution of species on relevant spatiotemporal scales for the management of invasive alien species [21]. Based on the optimized MaxEnt niche model, the potential and future suitable distribution areas of A. trifida in Northeast China were forecasted using the distribution data of A. trifida in China, the environmental data of current and 2050, 2070 climate scenarios with different emission intensities (RCP2.6, RCP4.5, RCP8.5).…”
Section: Introductionmentioning
confidence: 99%