Uzma Ashraf

Ms. Uzma Ashraf


Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 January 2021 in PeerJ
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Journal Article
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CNClaudia Nuñez-Penichet
Claudia Nuñez-Penichet
LOLuis Osorio-Olvera
Luis Osorio-Olvera
VGVictor H. Gonzalez
Victor H. Gonzalez
MCMarlon E. Cobos
Marlon E. Cobos
LJLaura Jiménez
Laura Jiménez
JSJorge Soberon
Jorge Soberon
The Asian giant hornet (AGH,Vespa mandarinia) is the world’s largest hornet, occurring naturally in the Indomalayan region, where it is a voracious predator of pollinating insects including honey bees. In September 2019, a nest of Asian giant hornets was detected outside of Vancouver, British Columbia; multiple individuals were detected in British Columbia and Washington state in 2020; and another nest was found and eradicated in Washington state in November 2020, indicating that the AGH may have successfully wintered in North America. Because hornets tend to spread rapidly and become pests, reliable estimates of the potential invasive range ofV. mandariniain North America are needed to assess likely human and economic impacts, and to guide future eradication attempts. Here, we assess climatic suitability for AGH in North America, and suggest that, without control, this species could establish populations across the Pacific Northwest and much of eastern North America. Predicted suitable areas for AGH in North America overlap broadly with areas where honey production is highest, as well as with species-rich areas for native bumble bees and stingless bees of the genusMeliponain Mexico, highlighting the economic and environmental necessity of controlling this nascent invasion.

19 May 2017 in Ecosphere
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Journal Article
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UAUzma Ashraf
Uzma Ashraf
APA. Townsend Peterson
A. Townsend Peterson
MCMuhammad Nawaz Chaudhry
Muhammad Nawaz Chaudhry
IAIrfan Ashraf
Irfan Ashraf
ZSZafeer Saqib
Zafeer Saqib
HAHassan Ali
Hassan Ali
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 europaeasensu lato, includingOlea 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 ofO. europaeasensu 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.

29 July 2016 in Sustainability
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UAUzma Ashraf
Uzma Ashraf
HAHassan Ali
Hassan Ali
MCMuhammad Nawaz Chaudry
Muhammad Nawaz Chaudry
IAIrfan Ashraf
Irfan Ashraf
SBSyeda Adila Batool
Syeda Adila Batool
ZSZafeer Saqib
Zafeer Saqib
The potential distribution of Olea ferruginea was predicted by Maxent model for present and the upcoming hypothetical (2050) climatic scenario. O. ferruginea is an economically beneficial plant species. For predicting the potential distribution of O. ferruginea in Pakistan, Worldclim variables for current and future climatic change scenarios, digital elevation model (DEM) slope, and aspects with the occurrence point were used. Pearson correlation was used to reject highly correlated variables. A total of 219 sighting points were used in the Maxent modeling. The area under curve (AUC) value was higher than 0.98. The approach used in this study is considered useful in predicting the potential distribution of O. ferruginea species, and can be an effective tool in the conservation and restoration planning for human welfare. The results show that there is a significant impact under future bioclimatic scenarios on the potential distribution of O. ferruginea in Pakistan. There is a significant decrease in the overall distribution of O. ferruginea due to loss of habitats under current distribution range, but this will be compensated by gain of habitat at higher altitudes in the future climate change scenario (habitat shift). It is recommended that the areas predicted suitable for the O. ferruginea may be used for plantation of this species while the deforested land should be restored for human welfare.

8 March 2024 in Nature Climate Change
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Journal Article
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UAUzma Ashraf
Uzma Ashraf
TMToni Lyn Morelli
Toni Lyn Morelli
ASAdam B. Smith
Adam B. Smith
RHRebecca Hernandez
Rebecca Hernandez

28 December 2019 in Environmental Science and Pollution Research
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SASyeda Nazish Ali
Syeda Nazish Ali
MBMujtaba Baqar
Mujtaba Baqar
MMMehvish Mumtaz
Mehvish Mumtaz
UAUzma Ashraf
Uzma Ashraf
MAMuhammad Naveed Anwar
Muhammad Naveed Anwar
HJHuang Jun
Huang Jun

16 October 2018 in PeerJ
Verified
Journal Article
Open access
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UAUzma Ashraf
Uzma Ashraf
MCMuhammad N. Chaudhry
Muhammad N. Chaudhry
SASajid R. Ahmad
Sajid R. Ahmad
IAIrfan Ashraf
Irfan Ashraf
Muhammad ArslanMuhammad Arslan
Muhammad Arslan
MJMobeen Jabbar
Mobeen Jabbar
Recent changes in climate are transforming the situation of life on Earth, including impacting the conservation status of many plant and animal species. This study aims to evaluate potential impacts of climate change on a medicinal plant that is known to be heat-tolerant, Capparis spinosa L. We used ecological niche modeling to estimate current and future potential distributions for the species, considering two emissions scenarios and five climate models for two time periods (2050 and 2070). The results in terms of areal coverage at different suitability levels in the future were closely similar to its present-day distribution; indeed, only minor differences existed in highly suitable area, with increases of only 0.2–0.3% in suitable area for 2050 and 2070 under representative concentration pathway 4.5. Given that climate-mediated range shifts in the species are expected to be minor, conservation attention to this species can focus on minimizing local effects of anthropogenic activity.