| RRC ID |
57522
|
| 著者 |
Ahmad R, Khuroo AA, Charles B, Hamid M, Rashid I, Aravind NA.
|
| タイトル |
Global distribution modelling, invasion risk assessment and niche dynamics of Leucanthemum vulgare (Ox-eye Daisy) under climate change.
|
| ジャーナル |
Sci Rep
|
| Abstract |
In an era of climate change, biological invasions by alien species represent one of the main anthropogenic drivers of global environmental change. The present study, using an ensemble modelling approach, has mapped current and future global distribution of the invasive Leucanthemum vulgare (Ox-eye Daisy) and predicted the invasion hotspots under climate change. The current potential distribution of Ox-eye Daisy coincides well with the actual distribution records, thereby indicating robustness of our model. The model predicted a global increase in the suitable habitat for the potential invasion of this species under climate change. Oceania was shown to be the high-risk region to the potential invasion of this species under both current and future climate change scenarios. The results revealed niche conservatism for Australia and Northern America, but contrastingly a niche shift for Africa, Asia, Oceania and Southern America. The global distribution modelling and risk assessment of Ox-eye Daisy has immediate implications in mitigating its invasion impacts under climate change, as well as predicting the global invasion hotspots and developing region-specific invasion management strategies. Interestingly, the contrasting patterns of niche dynamics shown by this invasive plant species provide novel insights towards disentangling the different operative mechanisms underlying the process of biological invasions at the global scale.
|
| 巻・号 |
9(1)
|
| ページ |
11395
|
| 公開日 |
2019-8-6
|
| DOI |
10.1038/s41598-019-47859-1
|
| PII |
10.1038/s41598-019-47859-1
|
| PMID |
31388050
|
| PMC |
PMC6684661
|
| MeSH |
Africa
Asia
Australia
Climate Change*
Computer Simulation
Ecological Parameter Monitoring / methods*
Ecological Parameter Monitoring / statistics & numerical data
Forecasting / methods
Introduced Species / trends*
Leucanthemum*
Models, Statistical
North America
Oceania
Plant Dispersal*
Risk Assessment / methods
South America
|
| IF |
4.011
|
| 引用数 |
2
|
| リソース情報 |
| GBIF |
Herbarium Specimens of Museum of Nature and Human Activities, Hyogo Pref., Japan
Herbarium Specimens of Tokushima Prefectural Museum, Japan
Plant specimens in the Museum of Nature and Human Activities, Hyogo Prefecture, Japan
Plant specimens deposited in Osaka Museum of Natural History, Japan
A crowdsourcing approach to collecting photo-based insect and plant observation records |
