dc.contributor.author | Ashraf, Uzma | |
dc.contributor.author | Peterson, A. Townsend | |
dc.contributor.author | Chaudhry, Muhammad Nawaz | |
dc.contributor.author | Ashraf, Irfan | |
dc.contributor.author | Saqib, Zafeer | |
dc.contributor.author | Ahmad, Sajid Rashid | |
dc.contributor.author | Ali, Hassan | |
dc.date.accessioned | 2018-11-14T21:28:37Z | |
dc.date.available | 2018-11-14T21:28:37Z | |
dc.date.issued | 2017-05-19 | |
dc.identifier.citation | Ashraf, U., A. T. Peterson, M. N. Chaudhry, I. Ashraf, Z. Saqib, S. Rashid Ahmad, and H. Ali. 2017. Ecological niche model comparison under different climate scenarios: a case study of Olea spp. in Asia. Ecosphere 8(5):e01825.10.1002/ecs2.1825 | en_US |
dc.identifier.uri | http://hdl.handle.net/1808/27356 | |
dc.description.abstract | Ecological niche modeling (and the related species distribution modeling) has been used as a tool with which to assess potential impacts of climate change processes on geographic distributions of species. However, the factors introducing variation into niche modeling outcomes are not well understood: To this end, we used seven algorithms to develop models (Maxent, GARP, BIOCLIM, artificial neural networks, support‐vector machines, climate envelope, and environmental distance) to estimate the potential geographic distribution of olives (Olea europaea sensu lato, including Olea ferruginea) under two climatic data sets (current 2000 and future 2050). Five general circulation models and two representative concentration pathway scenarios were used as predictor variables in future projections of the geographic potential of this species; models were fit at global extents (10′ spatial resolution) but transferred and interpreted for a region of particular interest in Central Asia, which largely avoids problems with truncation of niche estimates. We found marked differences among approaches in predicted distributions and model performance, as well as in the future distributional pattern reconstructed, from one algorithm to another. These general approaches, when model‐to‐model variation is managed appropriately, appear promising in predicting the potential geographic distribution of O. europaea sensu lato and thus can be an effective tool in restoration and conservation planning for wild populations, as well as possible commercial plantations of this species. | en_US |
dc.publisher | Ecological Society of America | en_US |
dc.rights | © 2017 Ashraf et al.
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by/3.0/ | en_US |
dc.subject | Climate change | en_US |
dc.subject | Ecological niche model | en_US |
dc.subject | Invasive species | en_US |
dc.subject | Partial receiver-operating characteristic (ROC) | en_US |
dc.subject | Species distribution model | en_US |
dc.title | Ecological niche model comparison under different climate scenarios: a case study of Olea spp. in Asia | en_US |
dc.type | Article | en_US |
kusw.kuauthor | Peterson, A. Townsend | |
kusw.kudepartment | Ecology and Evolutionary Biology | en_US |
kusw.oanotes | Per SHERPA/RoMEO 11/14/18: Author's Pre-print: green tick author can archive pre-print (ie pre-refereeing)
Author's Post-print: green tick author can archive post-print (ie final draft post-refereeing)
Publisher's Version/PDF: green tick author can archive publisher's version/PDF
General Conditions:
Authors retain copyright
Creative Commons Attribution License
Published source must be acknowledged with citation
Publisher's version/PDF may be used | en_US |
dc.identifier.doi | 10.1002/ecs2.1825 | en_US |
kusw.oaversion | Scholarly/refereed, publisher version | en_US |
kusw.oapolicy | This item meets KU Open Access policy criteria. | en_US |
kusw.proid | 152627400704 | en_US |
dc.rights.accessrights | openAccess | en_US |