Predicting the potential distribution of Lantana camara L. under RCP scenarios using ISI-MIP models
نویسندگان
چکیده
منابع مشابه
Predicting the potential distribution of Lantana camara L. under RCP scenarios using ISI-MIP models
Projections of anthropogenically-induced global climate change and its impacts on potential distributions of invasive species are crucial for implementing effective conservation and management strategies. Lantana camara L., a popular ornamental plant native to tropical America, has become naturalized in some 50 countries and is considered one of the world’s worst weeds. To increase our understa...
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The threat posed by invasive species, in particular weeds, to biodiversity may be exacerbated by climate change. Lantana camara L. (lantana) is a woody shrub that is highly invasive in many countries of the world. It has a profound economic and environmental impact worldwide, including Australia. Knowledge of the likely potential distribution of this invasive species under current and future cl...
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A process-based niche model of L. camara L. (lantana), a highly invasive shrub species, was developed to estimate its potential distribution using CLIMEX. Model development was carried out using its native and invasive distribution and validation was carried out with the extensive Australian distribution. A good fit was observed, with 86.7% of herbarium specimens collected in Australia occurrin...
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Antimicrobial efficacy of flavonoids (free and bound) and crude alkaloids of Lantana camara L. was determined by disc diffusion assay against three bacteria (Escherichia coli, Proteus mirabilis, and Staphylococcus aureus) and two fungi (Candida albicans and Trichophyton mentagrophytes). Minimum inhibitory concentration, minimum bactericidal/fungicidal concentration and total activity were also ...
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This research examines the impacts of climate change on the potential future distribution of Lantana camara L., a highly invasive species, in continental Australia. A process-based niche model of lantana is developed, using CLIMEX software, to estimate its potential distribution. The likely impact of climate change is explored using climate data from two Global Climate Models (GCMs), Echam Mark...
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ژورنال
عنوان ژورنال: Climatic Change
سال: 2015
ISSN: 0165-0009,1573-1480
DOI: 10.1007/s10584-015-1500-5