Global distribution modelling, invasion risk assessment and niche dynamics of Leucanthemum vulgare (Ox-eye Daisy) under climate change.

作者: Rameez Ahmad , Anzar A Khuroo , Bipin Charles , Maroof Hamid , Irfan Rashid

DOI: 10.1038/S41598-019-47859-1

关键词:

摘要: In an era of climate change, biological invasions by alien species represent one the main anthropogenic drivers global environmental change. The present study, using ensemble modelling approach, has mapped current and future distribution invasive Leucanthemum vulgare (Ox-eye Daisy) predicted invasion hotspots under potential Ox-eye Daisy coincides well with actual records, thereby indicating robustness our model. model a increase in suitable habitat for this Oceania was shown to be high-risk region both change scenarios. results revealed niche conservatism Australia Northern America, but contrastingly shift Africa, Asia, Southern America. risk assessment immediate implications mitigating its impacts as predicting developing region-specific management strategies. Interestingly, contrasting patterns dynamics plant provide novel insights towards disentangling different operative mechanisms underlying process at scale.

参考文章(101)
P. J. Cheek, P. McCullagh, J. A. Nelder, Generalized Linear Models, 2nd Edn. Applied Statistics. ,vol. 39, pp. 385- 386 ,(1990) , 10.2307/2347392
Omid Omidvar, Judith Dayhoff, None, Neural Networks and Pattern Recognition ,(1997)
L. Guarino, R. Hijmans, M. Cruz, E. Rojas, DIVA-GIS version 1.4 : A geographic information system for the analysis of biodiversity data, manual. International Potato Center (CIP). ,(2001)
Farzin Shabani, Lalit Kumar, Should species distribution models use only native or exotic records of existence or both Ecological Informatics. ,vol. 29, pp. 57- 65 ,(2015) , 10.1016/J.ECOINF.2015.07.006
James E Byers, Rachel S Smith, James M Pringle, Graeme F Clark, Paul E Gribben, Chad L Hewitt, Graeme J Inglis, Emma L Johnston, Gregory M Ruiz, John J Stachowicz, Melanie J Bishop, None, Invasion Expansion: Time since introduction best predicts global ranges of marine invaders. Scientific Reports. ,vol. 5, pp. 12436- 12436 ,(2015) , 10.1038/SREP12436
D. Rödder, J. O. Engler, Quantitative metrics of overlaps in Grinnellian niches: advances and possible drawbacks Global Ecology and Biogeography. ,vol. 20, pp. 915- 927 ,(2011) , 10.1111/J.1466-8238.2011.00659.X
Morgane Barbet-Massin, Frédéric Jiguet, Cécile Hélène Albert, Wilfried Thuiller, Selecting pseudo-absences for species distribution models: how, where and how many? Methods in Ecology and Evolution. ,vol. 3, pp. 327- 338 ,(2012) , 10.1111/J.2041-210X.2011.00172.X
OMRI ALLOUCHE, ASAF TSOAR, RONEN KADMON, Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS) Journal of Applied Ecology. ,vol. 43, pp. 1223- 1232 ,(2006) , 10.1111/J.1365-2664.2006.01214.X
E Martínez-Meyer, RP Anderson, MB Araújo, J Soberon, AT Peterson, RG Pearson, M Nakamura, Ecological Niches and Geographic Distributions ,(2011)
A. H. Malik, Z. A. Reshi, A. A. Khuroo, G. H. Dar, From ornamental to detrimental: plant invasion of Leucanthemum vulgare Lam. (Ox-eye Daisy) in Kashmir valley, India. Current Science. ,vol. 98, pp. 600- 602 ,(2010)